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Journal articles on the topic 'Image Aesthetics'
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1
Zhu, Hancheng, Yong Zhou, Zhiwen Shao, Wenliang Du, Guangcheng Wang, and Qiaoyue Li. "Personalized Image Aesthetics Assessment via Multi-Attribute Interactive Reasoning." Mathematics 10, no. 22 (November 9, 2022): 4181. http://dx.doi.org/10.3390/math10224181.
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Due to the subjective nature of people’s aesthetic experiences with respect to images, personalized image aesthetics assessment (PIAA), which can simulate the aesthetic experiences of individual users to estimate images, has received extensive attention from researchers in the computational intelligence and computer vision communities. Existing PIAA models are usually built on prior knowledge that directly learns the generic aesthetic results of images from most people or the personalized aesthetic results of images from a large number of individuals. However, the learned prior knowledge ignores the mutual influence of the multiple attributes of images and users in their personalized aesthetic experiences. To this end, this paper proposes a personalized image aesthetics assessment method via multi-attribute interactive reasoning. Different from existing PIAA models, the multi-attribute interaction constructed from both images and users is used as more effective prior knowledge. First, we designed a generic aesthetics extraction module from the perspective of images to obtain the aesthetic score distribution and multiple objective attributes of images rated by most users. Then, we propose a multi-attribute interactive reasoning network from the perspective of users. By interacting multiple subjective attributes of users with multiple objective attributes of images, we fused the obtained multi-attribute interactive features and aesthetic score distribution to predict personalized aesthetic scores. Experimental results on multiple PIAA datasets demonstrated our method outperformed state-of-the-art PIAA methods.
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Celona, Luigi, and Raimondo Schettini. "A Genetic Algorithm to Combine Deep Features for the Aesthetic Assessment of Images Containing Faces." Sensors 21, no. 4 (February 12, 2021): 1307. http://dx.doi.org/10.3390/s21041307.
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The automatic assessment of the aesthetic quality of a photo is a challenging and extensively studied problem. Most of the existing works focus on the aesthetic quality assessment of photos regardless of the depicted subject and mainly use features extracted from the entire image. It has been observed that the performance of generic content aesthetic assessment methods significantly decreases when it comes to images depicting faces. This paper introduces a method for evaluating the aesthetic quality of images with faces by encoding both the properties of the entire image and specific aspects of the face. Three different convolutional neural networks are exploited to encode information regarding perceptual quality, global image aesthetics, and facial attributes; then, a model is trained to combine these features to explicitly predict the aesthetics of images containing faces. Experimental results show that our approach outperforms existing methods for both binary, i.e., low/high, and continuous aesthetic score prediction on four different image databases in the state-of-the-art.
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Yan, Gang, Rongjia Bi, Yingchun Guo, and Weifeng Peng. "Image Aesthetic Assessment Based on Latent Semantic Features." Information 11, no. 4 (April 17, 2020): 223. http://dx.doi.org/10.3390/info11040223.
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Image aesthetic evaluation refers to the subjective aesthetic evaluation of images. Computational aesthetics has been widely concerned due to the limitations of subjective evaluation. Aiming at the problem that the existing evaluation methods of image aesthetic quality only extract the low-level features of images and they have a low correlation with human subjective perception, this paper proposes an aesthetic evaluation model based on latent semantic features. The aesthetic features of images are extracted by superpixel segmentation that is based on weighted density POI (Point of Interest), which includes semantic features, texture features, and color features. These features are mapped to feature words by LLC (Locality-constrained Linear Coding) and, furthermore, latent semantic features are extracted using the LDA (Latent Dirichlet Allocation). Finally, the SVM classifier is used to establish the classification prediction model of image aesthetics. The experimental results on the AVA dataset show that the feature coding based on latent semantics proposed in this paper improves the adaptability of the image aesthetic prediction model, and the correlation with human subjective perception reaches 83.75%.
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Chen, Changhai. "New Aesthetic Characteristics Emerging in the Digital Cinema Era." International Journal of Education and Humanities 2, no. 1 (January 25, 2022): 1–6. http://dx.doi.org/10.54097/ijeh.v2i1.224.
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Digital film technology has constantly transformed and enhanced the fundamental aesthetic elements in the traditional aesthetic categories of film aesthetics during its gradual penetration into the film art system, enabling these fundamental aesthetic elements to take on new forms and appearances that enrich the artistic communication of film and mark This is a sign of artistic advancement. The fusion of old and new technologies in synergy with the original film system has also accelerated the development of digital film technology as an aesthetic model, and in adapting to the original film art system, digital film aesthetics has produced aesthetic implications that transcend the original system, in terms of virtual images, spatial and temporal concepts, narrative modes, sound and picture relationships, and movement characters. They all exhibit new aesthetic characteristics that are distinct from traditional film aesthetics in terms of virtual images, spatial and temporal concepts, narrative modes, sound and image relationships, movement characteristics, and interactive methods. When one examines existing discussions on digital cinema in China and globally, it is easy to see that they primarily focus on expanding the audiovisual expression of images and on the study of the expressive power and image effects of digital special effects, while research on expanding film concepts and expanding film aesthetics is superficial, or even nonexistent. From a film aesthetics standpoint from the standpoint of film aesthetics, as digital technology has gradually displaced traditional modes of film production and concepts, audience viewing styles, and human aesthetic concepts, the aesthetics of digital film under the new digital technology can be a new construction in terms of time and space, reality, narrative techniques, virtual reality, and aesthetic acceptance. Based on established film theories and aesthetic notions, this study will seek to develop film aesthetics in the digital era, highlighting the study's uniqueness and systemic character in light of shifting aesthetic categories and the incorporation of new aspects in digital cinema.
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Konoplyova, Anna А. "AESTHETICS OF HETEROGENEOUS IMAGE." Vestnik Tomskogo gosudarstvennogo universiteta. Kul'turologiya i iskusstvovedenie, no. 43 (2021): 88–95. http://dx.doi.org/10.17223/22220836/43/6.
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Aesthetic preferences of contemporary art connoisseurs can hardly be called uniform. In view of this, today, heterogeneity, designed for a wide audience, is increasingly becoming a common technique. However, a question arises as to the reasons for the popularity of such eclecticism and ambiguity in the formation of an artistic image. The article is an attempt to scientific understanding of the formation and development of perception of images that differ in containing two or more strongly pronounced equivalent origins, which may exist with each other in contrast or be antagonistic. A specific character of understanding the meaning of heterogeneous images is rooted in the biological characteristics of human thinking and is directly dependent on the process of perception. The complexity of the polymorphic image lies in the impossibility of its unambiguous perception and identification. The aesthetic conflict is caused by the impossibility of correlating the image obtained in the process of perception with the norm, as well as the difficulty of checking the information presented in practice. This is a fair pattern: as perception influenced culture, so did culture affect perception. The nature of heterogeneity is explained by getting deep into the features of a primitive man’s worldview and is expressed in myth-making, which, by virtue of a certain instinct, creates a pure image. The images formed at the early stages develop on the border of the antagonistic categories of the sublime and the base, the beautiful and the ugly, which makes them extremely contradictory. However, they exist in consciousness as long as these discrepancies are noticed by a man, but are perceived naturally. Subsequently, heterogeneity begins to acquire a comic character, is used as an allegory, and through the use of the method of deformation becomes a powerful spokesman for the human essence. Modern perception of heterogeneity can be represented in two manifestations. On the one hand, a tendency has developed to harmoniously merge the heterogeneous into a single system. A clear definition of the boundaries of the elements made it possible later on to come to the collage art, able to synthesize even the most contradictory things. On the other hand, the fragmentation of an already holistic image was used in order to give it heterogeneity. These transformations have found the most vivid embodiment in painting, literature, cinematographic art. The creation of a heterogeneous image in contemporary art allows us to trace the change in the perception by society of the phenomenon of hybridity, its mood to accept such changes and openness to heterogeneity. Indeed, for the modern viewer, the aestheticization of heterogeneity becomes quite expected, is not filled with satire, loses ugliness. It gives hope for the attainment of happiness and power, which forms the basis for the increasing popularity of polymorphic images.
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Jiang, Shiqi, Ning Li, Chen Shi, Liping Guo, Changbo Wang, and Chenhui Li. "AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (March 24, 2024): 2534–42. http://dx.doi.org/10.1609/aaai.v38i3.28030.
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The Aesthetics Assessment of Children's Paintings (AACP) is an important branch of the image aesthetics assessment (IAA), playing a significant role in children's education. This task presents unique challenges, such as limited available data and the requirement for evaluation metrics from multiple perspectives. However, previous approaches have relied on training large datasets and subsequently providing an aesthetics score to the image, which is not applicable to AACP. To solve this problem, we construct an aesthetics assessment dataset of children's paintings and a model based on self-supervised learning. 1) We build a novel dataset composed of two parts: the first part contains more than 20k unlabeled images of children's paintings; the second part contains 1.2k images of children's paintings, and each image contains eight attributes labeled by multiple design experts. 2) We design a pipeline that includes a feature extraction module, perception modules and a disentangled evaluation module. 3) We conduct both qualitative and quantitative experiments to compare our model's performance with five other methods using the AACP dataset. Our experiments reveal that our method can accurately capture aesthetic features and achieve state-of-the-art performance.
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Leonardi, Marco, Paolo Napoletano, Alessandro Rozza, and Raimondo Schettini. "Modeling image aesthetics through aesthetics-related attributes." London Imaging Meeting 2, no. 1 (September 20, 2021): 11–15. http://dx.doi.org/10.2352/issn.2694-118x.2021.lim-11.
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Zhao, Xiaoyan, Ling Shi, Zhao Han, and Peiyan Yuan. "A Mobile Image Aesthetics Processing System with Intelligent Scene Perception." Applied Sciences 14, no. 2 (January 18, 2024): 822. http://dx.doi.org/10.3390/app14020822.
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Image aesthetics processing (IAP) is used primarily to enhance the aesthetic quality of images. However, IAP faces several issues, including its failure to analyze the influence of visual scene information and the difficulty of deploying IAP capabilities to mobile devices. This study proposes an automatic IAP system (IAPS) for mobile devices that integrates machine learning and traditional image-processing methods. First, we employ an extremely computation-efficient deep learning model, ShuffleNet, designed for mobile devices as our scene recognition model. Then, to enable computational inferencing on resource-constrained edge devices, we use a modern mobile machine-learning library, TensorFlow Lite, to convert the model type to TFLite format. Subsequently, we adjust the image contrast and color saturation using group filtering, respectively. These methods enable us to achieve maximal aesthetic enhancement of images with minimal parameter adjustments. Finally, we use the InceptionResNet-v2 aesthetic evaluation model to rate the images. Even when employing the benchmark model with an accuracy of 70%, the score of the IAPS processing image is verified to be higher and more effective compared with a state-of-the-art smartphone’s beautification function. Additionally, an anonymous questionnaire survey with 100 participants is conducted, and the result shows that IAPS enhances the aesthetic appeal of images based on the public’s preferences.
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Pan, Bowen, Shangfei Wang, and Qisheng Jiang. "Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 679–86. http://dx.doi.org/10.1609/aaai.v33i01.3301679.
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The inherent connections among aesthetic attributes and aesthetics are crucial for image aesthetic assessment, but have not been thoroughly explored yet. In this paper, we propose a novel image aesthetic assessment assisted by attributes through both representation-level and label-level. The attributes are used as privileged information, which is only required during training. Specifically, we first propose a multitask deep convolutional rating network to learn the aesthetic score and attributes simultaneously. The attributes are explored to construct better feature representations for aesthetic assessment through multi-task learning. After that, we introduce a discriminator to distinguish the predicted attributes and aesthetics of the multi-task deep network from the ground truth label distribution embedded in the training data. The multi-task deep network wants to output aesthetic score and attributes as close to the ground truth labels as possible. Thus the deep network and the discriminator compete with each other. Through adversarial learning, the attributes are explored to enforce the distribution of the predicted attributes and aesthetics to converge to the ground truth label distribution. Experimental results on two benchmark databases demonstrate the superiority of the proposed method to state of the art work.
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Galak, Eduardo. "Distancias. Hacia un régimen estético-político de la imagen-movimiento = Distances. Towards an Aesthetic and Political Image-Movement Regime." Espacio Tiempo y Forma. Serie VII, Historia del Arte, no. 8 (November 17, 2020): 465. http://dx.doi.org/10.5944/etfvii.8.2020.27354.
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Se interpelan las tensiones en las distancias entre sentidos estéticos y discursos políticos a partir de analizar las revoluciones técnicas y estéticas que se produjeron en la cinematografía de la década de 1920. Para ello se analizan tres largometrajes: Metrópolis, de Fritz Lang (1927), Berlín. Sinfonía de una ciudad, de Walter Ruttmann (1927) y El hombre de la cámara, de Dziga Vértov (1929). En ellos la ciudad se presenta como escenario donde los cuerpos se mueven, narrado por un conjunto de imágenes cuyo montaje se proyecta como el compás armónico de un régimen estético-político de la imagen-movimiento. En el hiato entre educar con la mirada y educar la mirada se trasluce la distancia entre lo que Jacques Rancière denomina como la «estética de la política» y la «política de la estética». Lo cual, confrontándolo con Walter Benjamin, posibilita observar las distancias entre imágenes, entre técnicas, entre originalidades y reproducciones, entre la estética y la política.AbstractThe aim is to analyze the distances between aesthetic senses and political speeches by technical and aesthetical cinematography revolutions happened in the 1920s. This is observed at three feature films: Metropolis (Fritz Lang, 1927), Berlin. Symphony of a Metropolis (Walter Ruttmann, 1927) and The Man with a Movie Camera (Dziga Vértov, 1929). At those films the city is exhibited as a scenario where bodies are moving, narrated by a set of images whose assembly is projected as the harmonic compass of an aesthetic-political regime of the image-movement. In the hiatus between educating with the gaze and educating the gaze itself, the distance between what Jacques Rancière called as the «aesthetics of politics» and the «politics of aesthetics» is studied. Confronting this with Walter Benjamin’s theory, it is possible to observe the distances between images, between techniques, between originality and reproduction and between aesthetics and politics.
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Zhong, Zhipeng, Fei Zhou, and Guoping Qiu. "Aesthetically Relevant Image Captioning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (June 26, 2023): 3733–41. http://dx.doi.org/10.1609/aaai.v37i3.25485.
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Image aesthetic quality assessment (AQA) aims to assign numerical aesthetic ratings to images whilst image aesthetic captioning (IAC) aims to generate textual descriptions of the aesthetic aspects of images. In this paper, we study image AQA and IAC together and present a new IAC method termed Aesthetically Relevant Image Captioning (ARIC). Based on the observation that most textual comments of an image are about objects and their interactions rather than aspects of aesthetics, we first introduce the concept of Aesthetic Relevance Score (ARS) of a sentence and have developed a model to automatically label a sentence with its ARS. We then use the ARS to design the ARIC model which includes an ARS weighted IAC loss function and an ARS based diverse aesthetic caption selector (DACS). We present extensive experimental results to show the soundness of the ARS concept and the effectiveness of the ARIC model by demonstrating that texts with higher ARS’s can predict the aesthetic ratings more accurately and that the new ARIC model can generate more accurate, aesthetically more relevant and more diverse image captions. Furthermore, a large new research database containing 510K images with over 5 million comments and 350K aesthetic scores, and code for implementing ARIC, are available at https://github.com/PengZai/ARIC
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Bennke, Johannes. "Testimonial Image Practices as a Politics of Aesthetics after Levinas." Religions 10, no. 3 (March 21, 2019): 216. http://dx.doi.org/10.3390/rel10030216.
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The transition from ethics to politics still lacks a proper understanding. I propose thinking of this transition in terms of a politics of aesthetics. However, thinking about a politics of aesthetics means also thinking about images and their prohibition. The prohibition of images has a long history, dating back to the Bible and Plato; its implications are crucial for image theory. Since Levinas did not systematically develop a political theory, aesthetics, or image theory, it is necessary to collect and systematize his distributed statements. Having image theory as a starting point for a politics of aesthetics, I choose a media philosophical approach to identify the mediality of the image after Levinas. Key elements for a Levinasian image theory are the temporal aspect of its transient appearance, its involving affective power, and its negativity. I propose to think of this image theory as an image-pragmatics that testifies and responds not only to the Other but also to the mediality of the image. With Levinas it becomes possible to turn the prohibition of images into a commandment to remember. I call this a testimonial image practice that becomes a regulatory idea for a politics of aesthetics.
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Zhong, Lei, Feng-Heng Li, Hao-Zhi Huang, Yong Zhang, Shao-Ping Lu, and Jue Wang. "Aesthetic-guided outward image cropping." ACM Transactions on Graphics 40, no. 6 (December 2021): 1–13. http://dx.doi.org/10.1145/3478513.3480566.
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Image cropping is a commonly used post-processing operation for adjusting the scene composition of an input photography, therefore improving its aesthetics. Existing automatic image cropping methods are all bounded by the image border, thus have very limited freedom for aesthetics improvement if the original scene composition is far from ideal, e.g. the main object is too close to the image border. In this paper, we propose a novel, aesthetic-guided outward image cropping method. It can go beyond the image border to create a desirable composition that is unachievable using previous cropping methods. Our method first evaluates the input image to determine how much the content of the image should be extrapolated by a field of view (FOV) evaluation model. We then synthesize the image content in the extrapolated region, and seek an optimal aesthetic crop within the expanded FOV, by jointly considering the aesthetics of the cropped view, and the local image quality of the extrapolated image content. Experimental results show that our method can generate more visually pleasing image composition in cases that are difficult for previous image cropping tools due to the border constraint, and can also automatically degrade to an inward method when high quality image extrapolation is infeasible.
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Fischer, André. "Deep Truth and the Mythic Veil: Werner Herzog's New Mythology in Land of Silence and Darkness." Film-Philosophy 22, no. 1 (February 2018): 39–59. http://dx.doi.org/10.3366/film.2018.0061.
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This article begins with Werner Herzog's programmatic statements on new images and deep truth and connects it to ideas of Nietzschean aesthetics, mainly the Apollonian image and the Dionysian horror. My main argument is that Herzog contributes to the literary and aesthetic tradition of new mythology within the medium of film by developing a distinct visual language that tries to express non-rational truth claims. In a first step I explore how Nietzschean aesthetics influenced the debates about the mythic image and total cinema in classic film theory and visual studies. More importantly I show how the desire to create new mythic images not only influenced Herzog's discourse on film, but his actual aesthetic practice. In my analysis of his 1971 documentary Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) I show how the dynamic between Apollonian veil and Dionysian Urbild (original image) is effective in the construction of what Herzog calls “deep truth”. This article attempts to shift the focus away from the fact-fiction debate surrounding most of Herzog's documentaries and to concentrate instead on framing Herzog's claims of non-rational truth theoretically and locating his work in the aesthetic tradition of new mythology.
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An, Lina. "Application of Computer Technology in Aesthetic Education and Feature Analysis." International Journal of Emerging Technologies in Learning (iJET) 14, no. 14 (July 24, 2019): 46. http://dx.doi.org/10.3991/ijet.v14i14.10713.
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The synergetic development of art and technology is a common trend for the development of aesthetics and computer technology, so it is imperative to introduce computer technology to aesthetic education in Chinese colleges. This paper reviews the problems and dilemma of college aesthetic education in China, and proposes to reform college aesthetic education by information technology. Focusing on image aesthetics, the author analyzes the image aesthetic features with computer algorithms, and demonstrates the superiority of computer algorithms in optimizing image and enhancing aesthetic beauty. The proposed method can overcome the dilemma of aesthetic education in Chinese colleges, and realizes preliminary informatization reform of college aesthetic education. The research findings have theoretical guiding significance for the modernization of aesthetic education in colleges and the comprehensive development of college students.
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Dorofeev, D. Yu. "Russian Elders: Aesthetics of Good-Imaged Beauty." Discourse 6, no. 4 (October 28, 2020): 5–21. http://dx.doi.org/10.32603/2412-8562-2020-6-4-5-21.
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Introduction. The paper substantiates the application of aesthetic characteristics to the examination of the image of Russian elders. It is proposed to move away from the traditional understanding of aesthetics only as a philosophy of art and beauty and consider it as a knowledge of the unique expressiveness of the essence of a sensually perceived phenomenon. The position is put forward that the phenomenal image of a person is a consequence of his lifestyle, and the image of the Russian elders, given the special way of their existence, is characterized by its original aesthetics of good-imaged beauty.Methodology and sources. The author shows the interaction and interconnectedness of the “external” and “internal” in the human image. To do this, we study the substantial proximity of the ancient phenomenon of kalocagathy and the Christian phenomenon of good-imaged, each of which, however, embodies a fundamentally different understanding of man (cosmological-plastic and personality-visual). The author emphasizes the fundamental for Orthodox anthropology and mysticism understanding of light in Hesychasm and the unity of Truth, Love and Beauty. The provision of P. A. Florensky, that the revealed truth is love, and the realized love is beauty. The general methodological basis of the work is a philosophical-anthropological, phenomenological and culturalhermeneutical attitude in the study of the aesthetics of the human image on the example of the beautiful beauty of the Russian elders.Results and discussion. The phenomenon of elderity is considered in the broad context of Orthodox and especially Russian history and culture, for which it is recognized in the most important archetypal type. Its main components and specific characteristics are considered. Particularly emphasizes the role in its occurrence and development of St. Nile of Sora and St. Paisiya Velichkovsky. The image of the Russian elder is regarded as an authentic embodiment of the practical implementation of the Orthodox mysticism of love, light and beauty. The special importance of the visual image of a person in Russian culture is emphasized. Based on the material of a wide appeal to the history of Russian senility, especially the XIX–XX centuries, a special type of spiritual asceticism, anthropology and educational communication is revealed. Defined by the experience of constant love, the image of the noble beauty of the elders (such as, for example, Leo, Macarius, Ambrose Optinsky) is recognized in Orthodoxy as a living icon of God, the ability is recognized through its visual perception to transform and improve people, and characteristic evidence is recalled about the effects of aesthetics this beautiful beauty.Conclusion. At the end of the paper, the author explores the specific nature of the perception of Russian elders, highlighting the visual and aesthetic component of this perception and emphasizing the importance of the beauty of their spiritual and phenomenal well-being as an aesthetic embodiment of love for people.
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Bodini, Matteo. "Will the Machine Like Your Image?Automatic Assessment of Beauty in Images with Machine Learning Techniques †." Inventions 4, no. 3 (June 28, 2019): 34. http://dx.doi.org/10.3390/inventions4030034.
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Although the concept of image quality has been a subject of study for the image processing community for more than forty years (where, with the term “quality”, we are referring to the accuracy with which an image processing system captures, processes, stores, compresses, transmits, and displays the signals that compose an image), notions related to aesthetics of photographs and images have only appeared for about ten years within the community. Studies devoted to aesthetics of images are multiplying today, taking advantage of the latest machine learning techniques and mostly due to the proliferation of huge communities and websites, specialized in digital photography sharing and archiving, such as Flickr, Imgur, DeviantArt, and Instagram. In this review, we examine the latest advances of computer methods that aim at computationally distinguishing high-quality from low-quality photos and images, relying on machine learning techniques. The paper is organized as follows: First, we introduce many approaches to aesthetics, studied in philosophy, neurobiology, experimental psychology, and sociology, to see what lighting they propose to researchers. Such points of view let us explain the weakness of the current consensus on the difficult aesthetics problem and the importance of the ongoing debates on it. Then, we analyze the work done in the community of pattern recognition and artificial intelligence on the task of automatic aesthetic assessment, and we both compare and critically examine the presented results. Finally, we describe many issues that have not been addressed, and starting from these, we outline some possible future directions.
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Seifali, Samira, and Asghar Fahimifar. "Quality of Visual Aesthetic Facets in Designing Christian and Islamic Religious Websites." Jurnal Pengajian Media Malaysia 22, no. 1 (May 31, 2020): 17–32. http://dx.doi.org/10.22452/jpmm.vol22no1.2.
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This study considers visual aesthetics as a significant contributor to involving the user in online visual communication. It argues that religious websites as an online environment require attention to the impressive communication process. In this study, we focus on how Christian and Islamic religious websites use the five visual aesthetic facets, including Simplicity, Diversity (visual richness), Colourfulness, Typography, and Image on homepages. To address this issue, 10 Christian and Islamic religious websites are selected from the Alexa top religious websites. Using a descriptive-analytics approach, evaluation of visual aesthetics is conducted through a checklist based on the theoretical and empirical literature reviewed on visual aesthetics and website design. It is included some criteria about visual aesthetic items in web design. The results show that Christian and Islamic religious websites have different types of visual aesthetics. Furthermore, Christian websites with high simplicity, low diversity, paying attention to the colour factor, appropriate typography and high-quality images, received the highest overall aesthetics ratings. While Islamic websites, with low simplicity, low diversity, little attention to the colour and typography characteristics, as well as low-quality images, received the low scores.
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Mundy, Rachel. "Birdsong and the Image of Evolution." Society & Animals 17, no. 3 (2009): 206–23. http://dx.doi.org/10.1163/156853009x445389.
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AbstractFor nearly a quarter of Darwin's Descent of Man (1871), it is the singing bird whose voice presages the development of human aesthetics. But since the 1950s, aesthetics has had a perilous and contested role in the study of birdsong. Modern ornithology's disillusionment with aesthetic knowledge after World War II brought about the removal of musical studies of birdsong, studies which were replaced by work with the sound spectrograph, a tool that changes the elusive sounds of birdsong into a readable graphic image called a spectrogram. This article narrates the terms under which the image, rather than the sound, of birdsong has become a sign of humanity's ability to reason objectively. Drawing examples from the strange evolutionary tales that exist at the juncture of ornithology, music history, illustration, and linguistics, this story suggests how it was that the human ear disappeared in the unbridgeable gap between the sciences and the study of aesthetics so tellingly termed "the humanities."
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Marty, Nicolas. "Deleuze, Cinema and Acousmatic Music (or What If Music Weren’t an Art of Time?)." Organised Sound 21, no. 2 (June 30, 2016): 166–75. http://dx.doi.org/10.1017/s1355771816000091.
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Drawing on Deleuze’s work about cinema (the ‘movement-image’ and the ‘time-image’), this article explores formal and aesthetic resonances with sound-based music, distinguishing between aesthetics of energy, articulation and montage, and aesthetics of contemplation, space and virtual relations. A second perspective is given, focusing on how listening behaviours may impose a ‘movement-image’ or a ‘time-image’ lens through which we could experience and remember a work’s form. This is exemplified with a short analysis of the first section ofChat Noir(1998–2000) by Elizabeth Anderson.
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Close, Ronnie. "Parallax Error: The Aesthetics of Image Censorshipe." Cabinet, Vol. 2, no. 2 (2017): 74–81. http://dx.doi.org/10.47659/m3.074.art.
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Parallax Error is a found photographic image collection scavenged from well-known art history publications in bookstores in Cairo between 2012 and 2014. What makes the series distinct are the forms and styles of censorship used on the original images ahead of sale and public distribution. The altered images involve some of the leading figures in the canon of Western photographic history and these respected photo works enter into a process of state censorship. This entails hand-painting each photograph, in each book edition, in order to obscure the full erotic effect of the object of desire, i.e. parts of the human body. The position of photography within Egypt and much of the Arab world is a contested one shaped by the visual formations of Orientalism created by the impact of European colonial empires in the region. This archival project examines the intersection of visual cultures embedded behind the series of photographic images that have been transformed through acts of censorship in Egypt. This frames how these doctored photographic images impose particular meanings on the original photographs and the potential merits, if any, of iconoclastic intervention. Parallax Error examines the political and aesthetic status of the image object in the transformation from the original photograph to censored image. The ink and paint marks on the surface of the photograph create a tension between the censorship act and its impact on the original. These hybrid images provide a political basis to rethink visual culture encounters in our interconnected and increasingly globalised contemporary image world. Keywords: aesthetics, censorship, iconoclasm, images, representation
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GREENFIELD, GARY R. "ON THE CO-EVOLUTION OF EVOLVING EXPRESSIONS." International Journal of Computational Intelligence and Applications 02, no. 01 (March 2002): 17–31. http://dx.doi.org/10.1142/s1469026802000403.
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Perhaps the best known example of user-guided evolution is furnished by evolving expressions, an image generation technique first introduced by Sims. In this version of artificial evolution, images are evolved for aesthetic purposes, hence any fitness measure used must be based on aesthetics. We consider the problem of guiding image evolution autonomously on the basis of computational, as opposed to user-assigned, aesthetic fitness. Due to the difficulty of formulating an absolute criterion for aesthetic fitness, we adopt a coevolutionary approach, relying on hosts and parasites to establish relative criteria for aesthetic fitness. To sustain the coevolutionary arms race, we allow coevolution to proceed in stages. This permits appropriate fitness levels to be maintained within the parasite populations we use to infect host image populations. Using staged coevolution produces two beneficial results: (1) longer survival times for subpopulations of host images, and (2) stable phenotypic lineages for host images.
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Hayn-Leichsenring, Gregor U., Thomas Lehmann, and Christoph Redies. "Subjective Ratings of Beauty and Aesthetics: Correlations With Statistical Image Properties in Western Oil Paintings." i-Perception 8, no. 3 (June 2017): 204166951771547. http://dx.doi.org/10.1177/2041669517715474.
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For centuries, oil paintings have been a major segment of the visual arts. The JenAesthetics data set consists of a large number of high-quality images of oil paintings of Western provenance from different art periods. With this database, we studied the relationship between objective image measures and subjective evaluations of the images, especially evaluations on aesthetics (defined as artistic value) and beauty (defined as individual liking). The objective measures represented low-level statistical image properties that have been associated with aesthetic value in previous research. Subjective rating scores on aesthetics and beauty correlated not only with each other but also with different combinations of the objective measures. Furthermore, we found that paintings from different art periods vary with regard to the objective measures, that is, they exhibit specific patterns of statistical image properties. In addition, clusters of participants preferred different combinations of these properties. In conclusion, the results of the present study provide evidence that statistical image properties vary between art periods and subject matters and, in addition, they correlate with the subjective evaluation of paintings by the participants.
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Mitchell, William John Thomas. "Iconology, visual culture and media aesthetics." Poznańskie Studia Polonistyczne. Seria Literacka, no. 30 (September 28, 2017): 341–64. http://dx.doi.org/10.14746/pspsl.2017.30.17.
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The article contains fragments of three chapters form the book Image Science. Iconology, Visual Culture and Media Aesthetics (Chicago 2015), titled The are no Visual Media , Back to the Drawing Board and Foundational Sites and Occupied Spaces . W. J. T. Mitchell created in his previous works the key concepts which imply an approach to images as true objects of investigation – an “image science”. Author, continuing with his influential line of thoughts, amplifies interdisciplinary studies of visual media. The chapters also delve into such topics as conections between new media and architecture or the occupation of space in contemporary popular uprisings. Image science is a call for a method of studying images that overcomes the “two-culture split” between the natural and human sciences.
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Miao, Haotian, Yifei Zhang, Daling Wang, and Shi Feng. "Multi-Output Learning Based on Multimodal GCN and Co-Attention for Image Aesthetics and Emotion Analysis." Mathematics 9, no. 12 (June 20, 2021): 1437. http://dx.doi.org/10.3390/math9121437.
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With the development of social networks and intelligent terminals, it is becoming more convenient to share and acquire images. The massive growth of the number of social images makes people have higher demands for automatic image processing, especially in the aesthetic and emotional perspective. Both aesthetics assessment and emotion recognition require a higher ability for the computer to simulate high-level visual perception understanding, which belongs to the field of image processing and pattern recognition. However, existing methods often ignore the prior knowledge of images and intrinsic relationships between aesthetic and emotional perspectives. Recently, machine learning and deep learning have become powerful methods for researchers to solve mathematical problems in computing, such as image processing and pattern recognition. Both images and abstract concepts can be converted into numerical matrices and then establish the mapping relations using mathematics on computers. In this work, we propose an end-to-end multi-output deep learning model based on multimodal Graph Convolutional Network (GCN) and co-attention for aesthetic and emotion conjoint analysis. In our model, a stacked multimodal GCN network is proposed to encode the features under the guidance of the correlation matrix, and a co-attention module is designed to help the aesthetics and emotion feature representation learn from each other interactively. Experimental results indicate that our proposed model achieves competitive performance on the IAE dataset. Progressive results on the AVA and ArtPhoto datasets also prove the generalization ability of our model.
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Juan Zheng. "Product Appearance Aesthetics in Industrial Design Based on Variational Onsager Neural Network Optimized with Osprey Optimization Algorithm." Journal of Electrical Systems 20, no. 3s (April 4, 2024): 2762–73. http://dx.doi.org/10.52783/jes.3172.
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Aesthetics are significant because they may elicit emotions, induce feelings of pleasure or desire, and convey an item's perceived worth and desirability. A well-designed and visually appealing product might stick apart in a competitive market and capture the interest of customers. In contrast, a badly constructed product may be disregarded or considered as inferior quality, regardless of its real functioning. In this manuscript, Product Appearance Aesthetics in Industrial Design Based on Variational Onsager Neural Network Optimized with Osprey Optimization Algorithm (PAAID-VONN-OOA) is proposed. The input image is collected from the Product Design Aesthetic Database. Then the images are pre-processing using Master-Slave Adaptive Notch Filter (MSANF) to remove the noise. The pre-processed image is given into the Variational Onsager Neural Networks which is used for Product Appearance Aesthetics in Industrial Design. In general, the Variational Onsager Neural Network does no express adapting optimization techniques to determine ideal parameters to assure precise prediction. Therefore, it is proposed to utilize the Osprey Optimization Algorithm enhancement Variational Onsager Neural Network for Product Appearance Aesthetics in Industrial Design. The proposed PAAID-VONN-OPA method is implemented on python. Then, the performance of proposed technique is compared with other existing techniques. The proposed technique attains 16.28%, 30.78% and 25.29% higher accuracy, 29.13%, 18.47%, and 31.69% higher precision, 28.96%, 33.21% and 23.89% higher specificity comparing with the existing methods such as An Aesthetic Measurement Approach for Evaluating Product Appearance Design (PAAID-ETT)Research on Modern Book Packaging Design under Aesthetic Evaluation Based on Deep Learning Model (PAAID-SVM), and Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning (PAAID-DCNN).
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Youssef, Ammar Suleiman, and Youssef Tanios Eid. "Literary Aesthetics in Nabil Yassin’s Poetry." International Journal of Religion 5, no. 11 (June 9, 2024): 443–54. http://dx.doi.org/10.61707/41vt3j15.
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The research revolves around the subject of literary aesthetics in the poetry of the Iraqi poet, journalist, writer and political activist Nabil Yassin, born on March 18, 1950 in Baghdad. He graduated from the Faculty of Arts from the University of Baghdad. He left Iraq in 1980 and settled in Britain. He obtained his doctorate in 1986. The research included three topics: the first: the concept of poetic aesthetics in literature. The second research: formations of the aesthetic image. The third: The aesthetics of the poetic image according to the poet Nabil Yassin. The researcher also used the descriptive analytical method.
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Peters, Gabriele. "Criteria for the Creation of Aesthetic Images for Human-Computer Interfaces A Survey for Computer Scientists." International Journal of Creative Interfaces and Computer Graphics 2, no. 1 (January 2011): 68–98. http://dx.doi.org/10.4018/jcicg.2011010105.
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Interaction in modern human-computer interfaces is most intuitively initiated in an image-based way. Often images are the key components of an interface. However, too frequently, interfaces are still designed by computer scientists with no explicit education in the aesthetic design of interfaces and images. This article develops a well-defined system of criteria for the aesthetic design of images, motivated by principles of visual information processing by the human brain and by considerations of the visual arts. This theoretic disquisition establishes a framework for the evaluation of images in terms of aesthetics and it serves as a guideline for interface designers by giving them a collection of criteria at hand; how to deal with images in terms of aesthetics for the purpose of developing better user interfaces. The proposed criteria are exemplified by an analysis of the images of the web interfaces of four well known museums.
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Bauerly, Michael P., and Yili Liu. "Development and Validation of a Symmetry Metric for Interface Aesthetics." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 5 (September 2005): 681–85. http://dx.doi.org/10.1177/154193120504900510.
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This article describes the experimental investigation of the effects of symmetry on judgments of interface aesthetics. Thirty compositions were developed in order to validate symmetry quantification algorithms with subjective aesthetic ratings. The same compositions were used in two experiments, one using basic black-and-white images, and the other using web pages. The images were rated by 16 subjects in each experiment using the ratio-scale magnitude estimation method against a benchmark image. Subjects also established an ordered list of the images according to their aesthetic appeal using the balanced incomplete block (BIB) ranking method. The results show that subjects are adept at rating symmetry about both horizontal and vertical axes and their ratings closely match the quantification algorithm. Additionally, the relation between the dominant symmetry value and aesthetic appeal shows that subjects preferred symmetric images over non-symmetric images for the black-and-white imagery. The development and validation of the symmetry metric is an important step towards developing quantitative evaluation metrics for interface aesthetics evaluation and design.
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O, Michaela. "Dividual Film Aesthetics." Philosophy International Journal 6, no. 2 (April 14, 2023): 1–6. http://dx.doi.org/10.23880/phij-16000294.
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The term “dividual” aims to present a critical view of the Western conception of persons and artworks as individuals. It is used in Euro-American anthropology in order to analyze the practical and ethical interferences between single persons and communities mainly in non-Western cultures. It is also used by Gilles Deleuze in Cinema 1. The Movement-Image in order to describe the aesthetic and self-affective character of films: since the filmic images cannot be temporarily fixed and individualized, he calls them “dividual”, much like contemporary plurivocal musical compositions. He reads their articulations as transitions between temporarily varying semiotic combinations; thus, they are not “‘divisible or indivisible’, but ‘dividual.’”(14) Referring to this Deleuzian concept, I want to delve into different films under this aesthetic perspective, exposing their character of mutual allusions and formal adaptations: from a docufiction by Jean Rouch to feature films by Jean-Luc Godard, Med Hondo and Jean-Pierre Bekolo. These films dividuate themselves due to their aesthetic interferences and the curious observation that certain European film styles were “invented” in an African context.
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Zhou, Jin, Qing Zhang, Jian-Hao Fan, Wei Sun, and Wei-Shi Zheng. "Joint regression and learning from pairwise rankings for personalized image aesthetic assessment." Computational Visual Media 7, no. 2 (March 23, 2021): 241–52. http://dx.doi.org/10.1007/s41095-021-0207-y.
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AbstractRecent image aesthetic assessment methods have achieved remarkable progress due to the emergence of deep convolutional neural networks (CNNs). However, these methods focus primarily on predicting generally perceived preference of an image, making them usually have limited practicability, since each user may have completely different preferences for the same image. To address this problem, this paper presents a novel approach for predicting personalized image aesthetics that fit an individual user’s personal taste. We achieve this in a coarse to fine manner, by joint regression and learning from pairwise rankings. Specifically, we first collect a small subset of personal images from a user and invite him/her to rank the preference of some randomly sampled image pairs. We then search for the K-nearest neighbors of the personal images within a large-scale dataset labeled with average human aesthetic scores, and use these images as well as the associated scores to train a generic aesthetic assessment model by CNN-based regression. Next, we fine-tune the generic model to accommodate the personal preference by training over the rankings with a pairwise hinge loss. Experiments demonstrate that our method can effectively learn personalized image aesthetic preferences, clearly outperforming state-of-the-art methods. Moreover, we show that the learned personalized image aesthetic benefits a wide variety of applications.
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Tamari, Tomoko. "Body Image and Prosthetic Aesthetics." Body & Society 23, no. 2 (March 31, 2017): 25–56. http://dx.doi.org/10.1177/1357034x17697364.
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Cui, Chaoran, Peiguang Lin, Xiushan Nie, Muwei Jian, and Yilong Yin. "Social-sensed Image Aesthetics Assessment." ACM Transactions on Multimedia Computing, Communications, and Applications 16, no. 3s (January 8, 2021): 1–19. http://dx.doi.org/10.1145/3414843.
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Lee, Sooyeun. "A Study on the Image of the Splashed Ink and Color Landscape Painting by Chang Dai-Chien." Korean Society of Culture and Convergence 44, no. 12 (December 31, 2022): 739–53. http://dx.doi.org/10.33645/cnc.2022.12.44.12.739.
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The splashed ink and color landscape painting was created by Chang Dai-Chien(1899-1983) in his latter days to summarize his art life. This paper studied the ‘image’ revealed in the Splashed Ink and Color Landscape Painting presented by Chang in his latter days. Overall, the ‘images’ expressed by Chang can be induced as follows. First, Snow Mountains in Switzerland, created in 1965, showed the ‘combination of specific image and abstract image.’ Second, the ‘formation of aesthetic effects of contrast and combination.’ Chang created a ‘new technique’ surpassing the ancient artists by exhibiting his unique ‘eloquence’ in Aafchen See, created in 1968. Third, by expressing his uniquely splashed ink and color summarizing the ‘combination of specific image and abstract image’ and the ‘formation of aesthetic effects of contrast and combination’ in Panorama of Mount Lu, known as his ‘last work,’ Chang showed an ‘image’ representing the character of ‘abstract ink painting’ with more Chinese features. Such ‘creative images’ of Chang Dai-Chien suggest that the exploration of traditional Chinese philosophies and aesthetics must be accumulated before studying its old techniques.
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Azam, Samiul, and Marina L. Gavrilova. "Biometric Pattern Recognition from Social Media Aesthetics." International Journal of Cognitive Informatics and Natural Intelligence 11, no. 3 (July 2017): 1–16. http://dx.doi.org/10.4018/ijcini.2017070101.
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Online social media (OSN) has witnessed a significant growth over past decade. Millions of people now share their thoughts, emotions, preferences, opinions and aesthetic information in the form of images, videos, music, texts, blogs and emoticons. Recently, due to existence of person specific traits in media data, researchers started to investigate such traits with the goal of biometric pattern analysis and recognition. Until now, gender recognition from image aesthetics has not been explored in the biometric community. In this paper, the authors present an authentic model for gender recognition, based on the discriminating visual features found in user favorite images. They validate the model on a publicly shared database consisting of 24,000 images provided by 120 Flickr (image based OSN) users. The authors propose the method based on the mixture of experts model to estimate the discriminating hyperplane from 56 dimensional aesthetic feature space. The experts are based on k-nearest neighbor, support vector machine and decision tree methods. To improve the model accuracy, they apply a systematic feature selection using statistical two sampled t-test. Moreover, the authors provide statistical feature analysis with graph visualization to show discriminating behavior between male and female for each feature. The proposed method achieves 77% accuracy in predicting gender, which is 5% better than recently reported results.
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Carballal, Adrian, Luz Castro, Rebeca Perez, and João Correia. "Detecting Bias on Aesthetic Image Datasets." International Journal of Creative Interfaces and Computer Graphics 5, no. 2 (July 2014): 62–74. http://dx.doi.org/10.4018/ijcicg.2014070104.
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In recent years, there have been attempts to discover the principles that determine the value of aesthetics in the domain of computing. Many and diverse studies have tried in some way to capture these principles through technical characteristics. To this end, helped by the ease of Internet data acquisition, datasets of images have been published which were obtained online at random from websites and photography competitions. To guarantee the validity of a system of aesthetic image classification, one must first guarantee its capacity for generalization. This paper studies how the indiscriminate selection of images can affect the generalization capacity obtained by a binary classifier.
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Dai, Ying. "Exploring Metrics to Establish an Optimal Model for Image Aesthetic Assessment and Analysis." Journal of Imaging 8, no. 4 (March 23, 2022): 85. http://dx.doi.org/10.3390/jimaging8040085.
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To establish an optimal model for photo aesthetic assessment, in this paper, an internal metric called the disentanglement-measure (D-measure) is introduced, which reflects the disentanglement degree of the final layer FC (full connection) nodes of convolutional neural network (CNN). By combining the F-measure with the D-measure to obtain an FD measure, an algorithm of determining the optimal model from many photo score prediction models generated by CNN-based repetitively self-revised learning (RSRL) is proposed. Furthermore, the aesthetics features of the model regarding the first fixation perspective (FFP) and the assessment interest region (AIR) are defined by means of the feature maps so as to analyze the consistency with human aesthetics. The experimental results show that the proposed method is helpful in improving the efficiency of determining the optimal model. Moreover, extracting the FFP and AIR of the models to the image is useful in understanding the internal properties of these models related to the human aesthetics and validating the external performances of the aesthetic assessment.
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Swami, Viren, Nina Grant, Adrian Furnham, and I. Christopher McManus. "Perfectly Formed? The Effect of Manipulating the Waist-to-Hip Ratios of Famous Paintings and Sculptures." Imagination, Cognition and Personality 27, no. 1 (September 2007): 47–62. http://dx.doi.org/10.2190/ic.27.1.e.
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Forty-three women and 45 men rated a series of images of selected paintings and sculptures for aesthetic appeal and originality. For each painting or sculpture, there were three versions: the original image and two manipulated images, one displaying a lower waist-to-hip ratio (WHR) and the other displaying a higher WHR than in the original. The results showed that, in general, both male and female participants considered the original and, in some cases, the image with the higher WHR as the most aesthetically pleasing. The results also showed that participants were generally able to discern the undoctored image as being the original, although women were better at this task than men. Implications for the study of aesthetics and physical attractiveness are considered.
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Nguyen, Thi Nhu Trang. "From museum aesthetics to everyday aesthetics: Narratives about Saigon in The Lover by Jean-Jacques Annaud and Bar Girls by Le Hoang." Journal of Urban Cultural Studies 9, no. 2 (December 1, 2022): 159–74. http://dx.doi.org/10.1386/jucs_00053_1.
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Saigon is an urban area that has undergone many political and historical upheavals. This study focuses on aesthetic qualities in an examination of The Lover by Jean-Jacques Annaud and Bar Girls by Le Hoang, which together contrast the image of Saigon during two different periods. I argue that Annaud presents the image of a colonial Saigon from a perspective grounded in nostalgia and memories, utilizing the techniques of museum aesthetics to juxtapose western and eastern spaces. Meanwhile, Le Hoang highlights the contemporary city of Saigon, reflecting in his film the qualities of an everyday aesthetics.
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Popczyk, Maria. "Body and image." Argument: Biannual Philosophical Journal 10, no. 2 (March 31, 2021): 443–53. http://dx.doi.org/10.24917/20841043.10.2.9.
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In aesthetics, as a philosophy of art, the body of the viewer is juxtaposed with the image of the painting, before which it stands still; both body and image are considered to be independent, which is a condition of a full aesthetic experience. In the present article I demonstrate how, through phenomenology, pragmatism and the idea of incarnation, post‐Kantian aesthetic is broadened. I limit myself to three theoretical perspectives; in each of them the duality of body and image is neutralised according to different rules. Phenomenology develops the relations between consciousness and body, while in pragmatism the encounter of body and image takes place in the process of the performative creation of image. The idea of incarnation, on the other hand, develops both of these currents in two divergent approaches: a theological and an anthropological one. Bringing together perspectives, which are so different methodologically reveals the existence of a profound tie between body and image.
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Popczyk, Maria. "Body and image." Argument: Biannual Philosophical Journal 10, no. 2 (March 31, 2021): 443–53. http://dx.doi.org/10.24917/20841043.10.2.9.
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In aesthetics, as a philosophy of art, the body of the viewer is juxtaposed with the image of the painting, before which it stands still; both body and image are considered to be independent, which is a condition of a full aesthetic experience. In the present article I demonstrate how, through phenomenology, pragmatism and the idea of incarnation, post‐Kantian aesthetic is broadened. I limit myself to three theoretical perspectives; in each of them the duality of body and image is neutralised according to different rules. Phenomenology develops the relations between consciousness and body, while in pragmatism the encounter of body and image takes place in the process of the performative creation of image. The idea of incarnation, on the other hand, develops both of these currents in two divergent approaches: a theological and an anthropological one. Bringing together perspectives, which are so different methodologically reveals the existence of a profound tie between body and image.
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Wang, Kai, Shasha Lv, Yongzhen Ke, Jing Guo, and Ruikun Wang. "Image Aesthetic Description Based on Semantic Addition Transformer Model." International Journal of Cognitive Informatics and Natural Intelligence 15, no. 4 (October 1, 2021): 1–14. http://dx.doi.org/10.4018/ijcini.20211001.oa14.
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Image aesthetic quality assessment has been a hot research topic in the field of image analysis during the last decade. Most recently, people have proposed comment type assessment to describe the aesthetics of an image using text automatically. However, existing works have rarely considered the quality of the aesthetic description. In this work, we propose a novel neural image aesthetic description network framework, named Deep Image Aesthetic Reviewer (DIAReviewer), based on Semantic Addition Transformer Model, the learning of Residual Network, and the Attention Mechanism in a single framework. Beyond that, we design a Semantic Addition module to compromise the image feature and semantic information to focus on the comment quality, such as fluency and complexity. We introduce a new image dataset named Aesthetic Review Dataset (ARD), which contains one or more aesthetic comments for each image. Finally, the experimental results on ARD show that our model outperforms other methods in content complexity and sentence fluency of aesthetic descriptions.
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Romakina, Maria A. "Kaleidoscope Aesthetics in Visual Media." Journal of Flm Arts and Film Studies 8, no. 3 (September 15, 2016): 48–56. http://dx.doi.org/10.17816/vgik8348-56.
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The author analyzes the special type of imagery, that is kaleidoscopic image, and investigates its evolution in photography, video and multimedia from the first vortograph (photo, taken through the prism of the mirrored glasses in 1917 by Alvin Langdon Coburn) until nowdays. The author combines empirical methods with the theoretical analysis. For the first time in the humanitarian historiography a huge package of kaleidoscopic photos, video and multimedia images was collected and systematized. The collection includes works of several dozens artists, some of them interviewed by the author of the research. As a result the author proposes the classification based on the subject regimentation: the entire aggregation of the assembled materials is divided into three main groups - the human body, the nature objects, the architecture. The images in each group are analyzed with respect to their structural features, composition and semantics, creation technology. Two structural features were singled out as unifying for all three groups: ambivalent character of the kaleidoscopic image as a symmetrically organized chaos, as well as a trend to transform a realistic recognizable subject into an abstract pattern. Kaleidoskoping is considered to be of the form generated mechanisms not only in the visual arts, but also in practice-oriented areas: design and graphic design, textile industry and fashion, ceramics, glass industry, etc.
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Titarenko, S. D. "Visual image in the aesthetics of Alexander Blok: phenomenology problems." Solov’evskie issledovaniya, no. 3 (September 30, 2020): 93–106. http://dx.doi.org/10.17588/2076-9210.2020.3.093-106.
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The article is dedicated to the insufficiently studied problem of the visual image that was formed in the creative aesthetical discourse of Alexander Blok. His articles “Colours and Words” (1905), “Works of Vyacheslav Ivanov” (1905), “About the Present Condition of the Russian Symbolism” (1910), “In Memory of Vrubel” (1910) and also exhibition overviews are considered in the article. The main task of the research is to reveal that the visual image is a way to represent thoughts of symbolist poet, and it is also a model of visual perception, which is characteristic for the modernist culture. The analysis methods are receptive criticism, intermediality and phenomenology of E. Husserl and M. Merleau-Ponty. The reasons why Alexander Blok paid close attention to the works of such painters as A. Böcklin, M. Vrubel, V. Kandinsky and others are analysed in the article. The examples demonstrate how the principles of Italian painters (Fra Angelico, Giovanni Bellini, Leonardo da Vinci) reflected in his aesthetics. It is indicated that the visual image in Blok’s articles is symbolic and metaphysical representation of the aesthetic idea. Blok uses various types of unclassical ecphrasis that have a function of visual codes. Moreover, he creates a type of “fictitious” ecphrasis as a “landscape of consciousness” and uses linguistic contamination. The conclusion is made that the new understanding of art emerges in Blok’s aesthetics, which was characteristic for modernist poetics of the beginning of the XX century. The function of the visual image is representation of symbolic forms (space, colour, composition, things, nature, body dynamics) as phenomena of consciousness and ways to express ideas.
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Rak-Suska, Magdalena. "Motives for aestheticizing the body in the process of self-presentation based on a study of women undergoing aesthetic procedures." Aesthetic Cosmetology and Medicine 13, no. 1 (February 2024): 3–10. http://dx.doi.org/10.52336/acm.2024.005.
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Body aesthetics encompasses practices designed to improving beauty and enhancing physical attractiveness. Nowadays, appearance plays an increasingly important role in interpersonal relationships, especially in self-presentation strategies. The article aimed to present the motives of body aesthetics in an image creation in a group of women who use aesthetic procedures. On the basis of the presented research, the author’s typology of emerged motives was created which include: the motive of covering up, compensating, aspiring and manifesting, which reveal the broader role of aesthetics in the context of social interaction.
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Fang, Siqi. "An Analysis of Cao Yus Creative Conception of Female Images Transformation in His Plays." Communications in Humanities Research 14, no. 1 (November 20, 2023): 124–29. http://dx.doi.org/10.54254/2753-7064/14/20230428.
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As the Pioneer of Chinese Drama, Cao Yu has contributed a series of distinctive and representative female images to contemporary Chinese literature. However, it exists a great transformation in female image creation and aesthetics in his plays. Divided from 1938, modern women represented by Fanyi, Chen Bailu and Hua Jinzi full of passion for life were celebrated by Cao Yu during the pre-time, while traditional women with classic Chinese flavors got well recognized by him during the post-time, such as Doctor Ding, Sufang and Ruijue. The transformation related closely to his creative conception, reflecting Cao Yus re-choice of his aesthetic interests, values, and cultural stance. This article analyzed Cao Yus creative conception from the differences between his two periods of female image creation and aesthetics before and after 1938. In recent years, feminism has been on the rise in China. Therefore, it will not only be beneficial to the Chinese womens liberation movement, but also to the worlds womens liberation movement.
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Kusumasondjaja, Sony. "Exploring the role of visual aesthetics and presentation modality in luxury fashion brand communication on Instagram." Journal of Fashion Marketing and Management: An International Journal 24, no. 1 (September 9, 2019): 15–31. http://dx.doi.org/10.1108/jfmm-02-2019-0019.
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Purpose The purpose of this paper is to examine the strategic importance of visual aesthetics and presentation modality for consumer responses to fashion luxury brand content posted on Instagram. Design/methodology/approach A content analysis of 40,679 posts on the official Instagram accounts of 15 global luxury brands was conducted. Findings Brand posts using expressive aesthetic image received more likes and comments on Instagram than those with classical aesthetics. Brand video content received more likes and comments than static content. There was also a significant interaction between visual aesthetics and presentation modality in generating likes and comments. Brand content adopting expressive aesthetic and audio-visual modality generated more responses when using audio-visual modality, while content using classical aesthetics produced more responses in a visual-only format. Practical implications As visual aesthetics and modality resulted in different responses to Instagram ads, luxury marketers should consider using appropriate approaches when creating brand posts on Instagram. Originality/value This is one of the few studies examining the effectiveness of visual aesthetics and presentation modality in Instagram advertising, especially in luxury fashion brand context.
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Darmin, Fardin, Ida Hidayanti, and Johan Fahri. "ESTETIKA KULINER MEMPENGARUHI CITRA DESTINASI, KEPUASAN WISATAWAN, DAN LOYALITAS WISATAWAN DI KOTA TERNATE." Jurnal Ekonomi & Manajemen Indonesia 22, no. 2 (January 5, 2023): 16–34. http://dx.doi.org/10.53640/jemi.v22i2.1103.
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The purpose of this research is to examine the relationship between culinary aesthetics, destination image, tourist satisfaction, and tourist loyalty in Ternate City. This type of research is an explanatory research with a quantitative approach. There are four variables used, namely culinary aesthetic variables, destination image, tourist satisfaction variable, and tourist loyalty variable. Data collection was obtained through distributing questionnaires to 120 respondents. The sampling technique used purposive sampling with a population of domestic tourists from Ternate City who visited at least two times to culinary tourism in Ternate City. The data analysis of this research used descriptive analysis and path analysis. The results of the study prove that the culinary aesthetic variable has a significant effect on the image of the destination, the image of the destination has a significant effect on the tourist loyalty variable. This study also found an indirect effect of port aesthetics on tourist loyalty through destination image and tourist satisfaction. Based on the results of the study, it is recommended that the Regional Government and tourism business actors maintain the image of local culinary in Ternate City and increase the intensity of tourist visits by promoting all types of tourist attractions including local culinary and optimizing tourist attractions in the diverse Ternate City through the image of the destination.
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Ibrahim, Yasmin. "The vernacular of photobombing: The aesthetics of transgression." Convergence: The International Journal of Research into New Media Technologies 25, no. 5-6 (November 27, 2017): 1111–22. http://dx.doi.org/10.1177/1354856517743666.
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The banal imaging of ourselves and our environments has led to new aesthetic modes where the conventions of imaging, subject–object relationships and what is pleasurable or popular often draw on the ludic, the unexpected or the surprise element. One such image genre is photobombing, where a transgressive object or entity within a conventional image setting subverts it, adding popular appeal through its ability to reconfigure its aesthetic conventions, opening it up for public pleasure and consumption and inscribing it with a possibility of going viral. Photobombing as an image genre online reflects our aesthetic modes and the age of distraction, where the unexpected remains a mode of ocular appeal underscoring the convergence of popular culture and the fluidity of Web 2.0’s convergence architecture. As such, people’s aesthetic modes of the popular can be invented, renewed and subverted with new formats. The phenomenon of photobombing equally affirms the spectacular as a liminal site where pleasure is experienced with the breaking down of norms and the conjoining of a communal gaze through the aesthetics of transgression.
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Lu, Chin-Shan, Hsiang-Kai Weng, Shiou-Yu Chen, Chi Wai Chiu, Hiu Yan Ma, Ka Wai Mak, and Ting Chi Yeung. "How port aesthetics affect destination image, tourist satisfaction and tourist loyalty?" Maritime Business Review 5, no. 2 (April 15, 2020): 211–28. http://dx.doi.org/10.1108/mabr-12-2019-0056.
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Purpose This study aims to examine the linkages between port aesthetics, destination image, tourist satisfaction and tourist loyalty in Hong Kong. Design/methodology/approach To achieve this objective, the authors surveyed 247 tourists in Hong Kong. Using factor analysis and structural equation model (SEM) to identify the constructs of port aesthetics and analyze its relationship with destination image, tourist satisfaction and tourist loyalty. Findings Five-port aesthetics constructs were identified, namely, leisure and culture, design and cognition, atmosphere, recreational facilities and memory. The results of SEM revealed the following: port aesthetics positively influenced destination image; destination image positively influenced tourist satisfaction; and tourist satisfaction had a positive influence on tourist loyalty. This research also found that the indirect effect of port aesthetics on tourist loyalty via destination image and tourist satisfaction. Originality/value While the environmental qualities of a port could potentially affect destination image, tourist satisfaction and loyalty, this study developed and validated a measurement instrument of perceived port aesthetics from a tourist’s perspective. Specifically, this research proposed a structural model to explain the relationships between port aesthetics, destination image, tourist satisfaction and loyalty.