Academic literature on the topic 'Image Aesthetics'
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Journal articles on the topic "Image Aesthetics"
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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.
Dissertations / Theses on the topic "Image Aesthetics"
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Olsson, Daniel. "Ranking images based on image aesthetics using a neural network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240122.
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How humans perceive image quality in general (e.g. aesthetics, resolution, lighting) and what constitutes to an image of good quality and aesthetics, is an interesting topic for neural networks to tackle. Lately several different aspects have been investigated in theory to try and build models to accurately predict the quality of an image. The problem is investigated in this thesis by performing an experiment and testing a method that computes the aesthetic value of an image and ranks a number of images according to their aesthetic value. The rankings are then compared to human rankings of the same images to determine if there is a correlation between the two. From the results the null hypothesis (that the correlation is just a coincidence) cannot be rejected but in 92% of the cases there were at least some agreement (same image, same position) between the algorithm and the human ranking. There are multiple similarities between the human rankings and the algorithm rankings which reveals a good potential to further investigate the problem in future.Hur bildkvalité generellt sett uppfattas av människor (så som estetik, upplösning, ljussättning) och vad som gör att en bild kan klassificeras som en bild av hög kvalité är ett intressant ämnesområde för neurala nätverk. Den senaste forskningen visar att det finns flera metoder och aspekter som påverkar hur kvalitativ en bild är i teorin. Problemet undersöks i denna rapport med ett experiment och metoden som testas är en metod som kan sätta ett estetiskt värde på en bild. Tillsammans med flera olika bilder kunde en rangordning skapas. Denna rangordning jämfördes sedan med en rangordning skapad av människor. Från resultaten så kan inte nollhypotesen förkastas (att korrelationen är ett sammanträffande) men att i 92% av fallen så finns det åtminstånde en likhet mellan algoritmens rangordning och en människas rangordning. Det finns flera likheter mellan de mänskliga rangordningarna och algoritmens rangordning vilket visar en god potential för forsatt undersökning i framtiden.
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Altés, Arlandis Alberto. "Delaying the image : towards an aesthetics of encounter." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/381270.
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This thesis, as part of a movement towards the degree of PhD (a becoming Doctor of Philosophy), is constructed and approached as a philosophical situation, which is always about an encounter between terms that are foreign to each other. In this case, through the exploration of the interplays of space, film and politics, a multiplicity of foreign terms and such encounters will emerge and take us along a journey through places, movies and architectures, to discuss the ways in which architecture and other spatial practices think, imagine and produce the worlds we live in and the ways in which we live together.
Quite differently from what has usually been the focus of explorations of the relationships between film and architecture -namely an approach to their connections as formal constructions and compositional techniques- I will approach cinema as a form that thinks, as an apparatus of spatial critique and as a material that is capable of activating a time and a space of encounter: one in which people are enabled to meet reality at a distance from that in which they are presently becoming. Film is here an encounter with otherness, and allows thinking in and through the distance that separates the viewer from the screen and from the spaces and realities presented on it. lt does so by means of its form. lt is a form that thinks. Through its thinking, cinema can change the ways in which we conceive of territories and places; it can change the ways in which we conceive of architecture, helping us move from understanding it as a discipline or an 'it' to seeing it as an action or a verb: to architect. Cinema can help us gain the critical, social, political and utopian impetus we are missing in our 'movement' towards the establishment of the common.
Philosophy has, according to Badiou, three tasks in relationship with situations: first, it has to help us clarify the basic choices of our thinking; second, it has to help us clarify the distance between that thinking (truths as creation) and power; and third,it has to help us clarify the importance of the exception, the rupture, the event. Choice, distance, exception.
One could also see in that sequence a relationship to the main three parts of this research, the first part is about choices: an archaeology of the present that forces us to choose between different things in order to approach what I will call 'pragmatic dissent'; the second part is about distances: a filmic, spatial and affective journey in which we take a distance from that present in order to encounter reality, and we do so by exploring and developing an 'aesthetics of encounter'; and the third part is about exceptions: an exploration of other images and other spaces, alternatives and events in the conception, thinking and production of spaces and images, a journey through these exceptions that will become a discussion of two interrelated notions: anarchic metapolitics and what I will provisionally call 'ethics of encounter'. Or in other words, a different way of conceiving and addressing our becoming 'of' the world as architects and the responsibilities we have in relationship with its transformation through the thinking, construction and organization of our coexistence.Esta tesis - parte de una trayectoria orientada a la obtención del grado de doctor (un devenir 'philosophi doctor:o PhD) - se ha construido y afrontado como una situación filosófica, siempre un encuentro entre términos ajenos entre sí. En este caso, a través de la exploración de las relaciones de espacio, cine y política, se hacen posibles múltiples encuentros de este tipo, que emergen y nos conducen a lo largo y ancho de lugares, películas y arquitecturas, con el fin de discutir las maneras en las que la arquitectura y otras prácticas espaciales piensan, imaginan y producen los mundos que habitamos y los diversos modos en los que podemos habitarlos juntos. En marcado contraste con las aproximaciones más usuales a las relaciones entre cine y arquitectura -caracterizadas generalmente por enfoques centrados en aspectos formales y técnicas compositivas- la tesis se acerca al cine como forma capaz de pensar, y como aparato de crítica espacial capaz de activar un tiempo y un lugar de encuentro: un espacio y un tiempo en el que encontrarse con la realidad a una cierta distancia con respecto a la que nos separa de nuestro devenir cotidiano. El cine es entonces un encuentro con la alteridad, con el otro, y permite pensar en y a través de la distancia que separa al espectador de la pantalla y de los espacios y realidades que se presentan en ella. El cine es capaz de producir este encuentro gracias a su forma. Una forma capaz de pensar. A través de su pensar, el cine puede cambiar las maneras en que concebimos territorios y lugares; y puede cambiar las formas en las que concebimos la arquitectura, ayudándonos a pasar de entenderla como una disciplina o entidad a verla como una acción o un verbo:'arquitecturar'. El cine puede contribuir a recuperar el ímpetu crítico, social, político y utópico tan necesario en nuestro 'movimiento' hacia el establecimiento de lo común. La filosofía, según Badiou, tiene tres tareas principales en relación con las situaciones:primero, debe ayudarnos a clarificar las decisiones principales de nuestro pensar; segundo,debe ayudarnos a clarificar la distancia entre ese pensamiento (verdades como creación) y el poder;y tercero,debe ayudarnos a clarificar la importancia de la excepción, la ruptura, el acontecimiento. Elección, distancia, excepción. Podría encontrarse en esa secuencia también una relación con las tres partes de esta investigación; la primera parte se centra en la elección: una arqueología del presente que nos obliga a escoger con el fin de aproximarnos a lo que llamaré 'disenso pragmático'; una segunda parte que trata de distancias: un viaje fílmico,espacial y afectivo en el que tomamos distancia sobre ese presente para encontrarnos con la realidad, a través de la exploración y el desarrollo de una 'estética del encuentro'; y una tercera parte que se ocupa de la excepción,una exploración de imágenes y espacios otros y otras, alternativas y acontecimientos en la concepción, pensamiento y producción de espacios e imágenes, una travesía a través de estas excepciones que se convertirá en una discusión de dos nociones interrelacionadas: metapolítica anárquica y lo que denominaré provisionalmente 'ética del encuentro'. Es decir, otra forma de concebir y afrontar nuestro devenir arquitectos 'de' el mundo y las responsabilidades que tenemos en relación con su transformación a través de la concepción, construcción y organización de nuestra coexistencia
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CELONA, LUIGI. "LEARNING QUALITY, AESTHETICS, AND FACIAL ATTRIBUTES FOR IMAGE ANNOTATION." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199001.
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Ogni giorno vengono prodotte dagli utenti di social network, utilizzatori di smartphone, professionisti della fotografia ecc, un numero elevato di immagini digitali. Questo ha causato un problema di gestione, organizzazione, indicizzazione e recupero di immagini digitali. Al fine di semplificare questo problema sono stati introdotti svariati metodi per catalogare le immagini in maniera automatica. Questi metodi sono progettati per associare alle immagini una o piu' keyword appartenenti a un dizionario predefinito o anche attributi visuali quali ad esempio, qualitˆ, estetica, sentimento, memorabilita' ecc.
Questa tesi indaga l'uso delle convolutional neural network per la stima automatica della qualità dell'immagine e dell'estetica dell'immagine. Negli ultimi anni sono stati proposti diversi metodi per la valutazione automatica della qualità dell'immagine. Molti di essi sono stati progettati per trattare immagini distorte sinteticamente, che per definizione non modellano veramente le distorsioni che affliggono le immagini del mondo reale. In questa tesi viene investigato un metodo per la valutazione automatica della qualità delle immagini realmente distorte. Mostra prestazioni migliori rispetto ai metodi più avanzati sia su dataset di immagini distorte sinteticamente che autenticamente.
A differenza della qualità dell'immagine, che caratterizza la qualità percepita del segnale dell'immagine, l'estetica rappresenta la bellezza percepita. Come primo passo, è stato studiato il problema della valutazione della qualità estetica delle immagini con contenuto generale. La soluzione proposta ha ottenuto risultati migliori nello stato dell'arte sul più grande dataset di immagini disponibile.
Dato che uno dei contenuti visivi più popolari è il volto (ad esempio sui social network per la condivisione di foto), la valutazione estetica è, stata ulteriormente approfondita per il caso specifico delle immagini di ritratti. A tal fine, in questa tesi viene proposto un algoritmo che coinvolge la combinazione dei precedenti attributi visivi investigati (vale a dire la qualità e l'estetica delle immagini di contenuto generale) e le caratteristiche del volto (cioè sorridente, acconciatura, trucco). La descrizione degli attributi facciali è ottenuta grazie a due metodi proposti. Il primo algoritmo è un rilevatore di sorrisi robusto (rappresenta un'importante funzione visiva per l'estetica del ritratto), il secondo è un modello a più attività progettato per stimare simultaneamente biometriche e attributi morbidi come i colori e gli stili dei capelli, i tipi di barba. Mentre il primo algoritmo supera i metodi più avanzati (anche rispetto alle immagini altamente distorte), il modello multi-task ottiene prestazioni comparabili. I risultati sperimentali per la valutazione estetica delle immagini di volti grazie all'uso dell'algoritmo proposto mostrano prestazioni promettenti su tre set di dati standard.Every day, a large number of digital images are produced by users of social networks, smartphone users, photography professionals, etc. This caused a problem in the management, organization, indexing, and recovery of digital images. In order to ease this problem, several methods have been introduced in the literature to catalog images automatically. These methods are designed to associate images with one or more keywords belonging to a predefined dictionary or to associate images with visual attributes such as, for example, quality, aesthetics, sentiment, memorability, interestingness, and complexity, etc. This thesis investigates the use of deep convolutional neural network for automatic estimation of image quality and image aesthetics. In the last few years, several methods for automatic image quality assessment have been proposed. Most of them have been designed to deal with synthetically distorted images, which by definition do not truly model distortions afflicting real-world images. In this thesis a method for the automatic quality assessment of authentically distorted images is investigated. It shows better performances than state-of-the-art methods both on synthetically and authentically distorted images datasets. Differently from the image quality, which characterizes the perceived quality of the image signal, aesthetics depicts perceived beauty. As first step, the problem of aesthetic quality assessment of real-life general content images has been investigated. The proposed solution outperformed state-of-the-art methods on the largest publicly available dataset. Given that one of the most popular visual contents is face (e.g. on social networks for photo sharing), aesthetics assessment is, therefore, further investigated on the specific case of portrait images. To this end, in this thesis an algorithm involving the combination of the previously investigated visual attributes (i.e. quality and aesthetics of general content images) and the facial attributes (i.e. smiling, hair style, makeup) description is proposed. Facial attributes description is achieved thanks to two proposed methods. The first algorithm is a robust smile detector (it represents an important visual feature for portrait aesthetics), the second is a multiple-task model designed in order to simultaneously estimate soft biometrics and attributes such as hair colors and styles, types of beards. While the first algorithm outperforms state-of-the-art methods (also respect to highly distorted images), the multi-task model demonstrates comparable performance. Experimental results for the portrait image aesthetic assessment thanks to the use of the proposed algorithm show promising performance on three standard datasets.
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Chambe, Mathieu. "Improving image quality using high dynamic range and aesthetics assessment." Electronic Thesis or Diss., Université de Rennes (2023-....), 2023. http://www.theses.fr/2023URENS015.
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Pour traiter la grande quantité de données visuelles disponible, il est important de concevoir des algorithmes qui peuvent trier, améliorer, compresser ou stocker des images et des vidéos. Dans cette thèse, nous proposons deux approches différentes pour améliorer la qualité d'images. Tout d'abord, nous proposons une étude des méthodes d'évaluation automatique de l'esthétique. Ces algorithmes sont basés sur des réseaux de neurones supervisés. Nous avons récolté des images de différents types, puis nous avons utilisé ces images pour tester des modèles. Notre étude montre que les caractéristiques nécessaires pour évaluer précisément les esthétiques de photographies professionnelles ou compétitives sont différentes, mais qu'elles peuvent être apprises par un seul et unique réseau. Enfin, nous proposons de travailler sur les images à grande gamme dynamique (High Dynamic Range, HDR en anglais). Nous présentons ici un nouvel opérateur pour augmenter la gamme dynamique d'images standards, appelé HDR-LFNet. Cet opérateur fusionne la sortie de plusieurs algorithmes pré-existants, ce qui permet d'avoir un réseau plus léger et plus rapide. Nous évaluons les performances de la méthode proposée grâce à des métriques objectives, ainsi qu'une évaluation subjective. Nous prouvons que notre méthode atteint des résultats similaires à l'état de l'art en utilisant moins de ressourcesTo cope with the increasing amount of visual content available, it is important to devise automatic processes that can sort, improve, compress or store images and videos. In this thesis, we propose two different approaches to software-based image improvement. First, we propose a study on existing aesthetics assessment algorithms. These algorithms are based on supervised neural networks. We have collected several datasets of images, and we have tested different models using these images. We report here the performances of such networks, as well as an idea to improve the already trained networks. Our study shows that the features needed to accurately predict the aesthetics of competitive and professional are different but can be learned simultaneously by a single network. In a second time, we propose to work with High Dynamic Range (HDR) images. We present here a new operator to increase the dynamic range of images called HDR-LFNet, that merges the output of existing operators and therefore, consists in far fewer parameters. Besides, we evaluate our method through objective metrics and a user study. We show that our method is on-par with the state-of-the-art according to objective metrics, but is preferred by observers during the user study, while using less resources overall
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Ni, Bhriain Ailbhe. "The aesthetics of exile : an exploration of place and image space." Thesis, Kingston University, 2008. http://eprints.kingston.ac.uk/20231/.
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'The Aesthetics of Exile' seeks to understand and represent a condition of exile through visual practice. The following text comprises two parts. Part one is divided into three sections, and serves to outline the form of the project, as well as the thinking behind it. Section 1 introduces the visual exploration and reasoning within the practice, Section 2 summarises its contextual and conceptual grounding, and Section 3 describes the visual material to be viewed, focussing on the processes behind each individual series of work. In Part two an essay on the artwork written by Jonathan Miles is reproduced in full to provide a further reading of the practice. The text is by way of introduction and reference but, ultimately, the evidence and outcome of the research lies in the artwork itself, which is presented here in a series of ten folios. These folios document chronologically the visual exploration and progression of the project. Each series of work selected for reproduction is represented by an edition of unbound c-prints and/or DVD, individually housed and titled. The final folio documents the concluding exhibition of the research project, as it was installed and assessed in the gallery setting.
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Buettner, Angi. "Haunted images : the aesthetics for catastrophe in a post-Holocaust world /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18719.pdf.
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Smith, Alexandra Bailey. "Writing Against the Image: Teju Cole, Ben Lerner, and Aesthetics of Failure." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14483.
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Given the striking contemporary turn towards literary mediations of aesthetic experience, this project suggests the need for a concerted critical realignment in understanding literary form’s potential for artistic expansiveness. Focussing on writers Teju Cole and Ben Lerner, and in particular their debut novels Open City and Leaving the Atocha Station, this thesis seeks to explore their interrogations of this kind of experience as blueprints for direct aesthetic experience, experimenting with perceptual responses to art. It not only draws on concepts of the ‘virtual’ as that which opposes the ‘actual,’ but as a mapmaking strategy for proposing the ways in which the novel can offer new and insightful ways of attending to art. Indeed, I approach this concern as a reinterpretation and insurrection of the literary’s image, as a site of formal convention, the novel’s tendency towards realism, and as writers’ reinvestment in the conversation between literature and visual art. Where theories of the virtual mode have traditionally been conceptualised as opposed to the formally actual or possible, this study seeks to instead put forward a model of writing that is concerned with the mediation of aesthetic experience in and through literary language, and that makes new claims about the relationship literary prose has to other artistic forms. Engaging with sensory aesthetic experience – visual art, music, and literature – the works of both novelists not only refract and problematise direct artistic experience but also to provide a lyrical lens through which these experiences are compellingly interrogated. In doing so, they situate the novel as an absorptive form that offers significant implications for our practices of reading and critical judgment.
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Li, Shuang. "Young Proust and the visual arts : vision, perception, aesthetics." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33050.
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This thesis explores the relationship between the early writings of Marcel Proust and the visual arts through a phenomenological approach drawing on Merleau-Ponty's theory of perception. Proust's juvenilia are studied in four chapters with regard to respectively four genres of painting: genre scenes and still lives, in particular by Rembrandt, Vermeer, and Chardin; garden scenes and landscapes of the botanical world as depicted in Ruskin, Monet, and the Pre-Raphaelites; seascapes and atmosphere depiction in Turner, Monet, and Whistler; portrait paintings by Rembrandt, Van Dyck, and Blanche. The thesis does not aim to trace any direct influences of these painters on Proust, but, rather seeks to identify aesthetic commonalities between Proust and these artists, with an emphasis on their similar visions and ways of perception. It will pay particular attention to the aspects of colour and light, as well as space and time, making use of the Merleau-Pontian theory that underlines a participatory mode of perception where the body integrated with the world occupies a pivotal position. The thesis addresses the uniqueness of the young Proust's vision as an apprentice stage, which allows us to identify early aesthetic tendencies that will be developed in À la recherche du temps perdu.
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Wong, Solomon Kim-Nung Psychology Faculty of Science UNSW. "Linking visual preferences and visual sensitivity to image structure." Awarded by:University of New South Wales. Psychology, 2009. http://handle.unsw.edu.au/1959.4/44842.
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The statistical structure of natural images has sparked interest in regards to both visual processing of such images and the aesthetic responses they elicit. We bring together these two lines of research under the simple proposition that early visual processing, more specifically visual sensitivity, may mediate visual preferences. In our first set of experiments, we measured both visual preference and visual sensitivity in the same observers, using patterns varying in the slope of their amplitude spectrum. Our results found similar functions for both variables, supporting our hypothesis. In a second set of experiments, we investigated the same question with regards to simple spatial frequency variations, and found even more convincing results. We conclude that early visual processing is implicated in visual preference, supporting the recently emerging sensory-based approaches to understanding visual preference.
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Baraheem, Samah Saeed. "Text to Image Synthesis via Mask Anchor Points and Aesthetic Assessment." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton158800567702413.
Full textBooks on the topic "Image Aesthetics"
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Hillery, David. Verlaine: Fixing an image. [Durham, England]: University of Durham, 1988.
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Quignard, Pascal. Fascination des images, images de la fascination. Paris: Presses Sorbonne Nouvelle, 2014.
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Berman, Laurence D. The musical image: A theory of content. Westport, Conn: Greenwood Press, 1993.
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Miskīnī, Umm al-Zayn Binshaykhah. Taḥrīr al-maḥsūs: Lamasāt fī al-jamāliyāt al-muʻāṣirah. Bayrūt: Manshūrāt Ḍifāf, 2014.
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Zechner, Ingo. Bild und Ereignis: Fragmente einer Ästhetik. Wien: Turia + Kant, 1999.
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Ansaldi, Saverio. L'imagination fantastique: Images, ombres et miroirs à la Renaissance. Paris: Les Belles lettres, 2013.
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Pirchner, Andreas Michael, Elisabeth Pölzl-Hofer, and Susanne Sackl. All you need is image?! Graz: Grazer Universitätsverlag, 2010.
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Schmitt, Bernd. Marketing aesthetics: The strategic management of brands, identity, and image. New York: Free Press, 1997.
Find full textBook chapters on the topic "Image Aesthetics"
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Klink, Charlotte. "3. The Aesthetics of Narcissism." In Image, 169–87. Bielefeld, Germany: transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839457009-013.
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Klink, Charlotte. "Aesthetics of Narcissism—An Introduction." In Image, 112–18. Bielefeld, Germany: transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839457009-010.
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Carroll, Noël. "Towards an Ontology of the Moving Image." In Aesthetics, 101–12. 4 [edition]. | New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315303673-23.
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Mulvey, Laura. "Woman as Image, Man as Bearer of the Look." In Aesthetics, 119–24. 4 [edition]. | New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315303673-25.
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Velten, Hans Rudolf. "Introduction: Fantasy between Text and Image." In Fantasy Aesthetics, 9–22. Bielefeld, Germany: transcript Verlag, 2024. http://dx.doi.org/10.14361/9783839470589-002.
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Zhu, Zhirong. "Aesthetic Image Theory." In Chinese Aesthetics in a Global Context, 191–225. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7747-2_7.
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Carson, Craig. "The Image of Suffering." In The Aesthetics of Democracy, 93–113. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-33963-4_4.
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Haney, Beth, and Michelle P. Zappas. "Facial Danger Zones in Aesthetics." In Image-Guided Aesthetic Treatments, 29–37. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36266-8_4.
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Carson, Craig. "Biopolitics and the Image Obscured." In The Aesthetics of Democracy, 35–53. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-33963-4_2.
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Theisohn, Philipp. "The Given Image and the Taken Image – Response to the Contributions by Christine Riniker and Ronald Röttel." In Christian Kracht‘s Aesthetics, 79–84. Stuttgart: J.B. Metzler, 2023. http://dx.doi.org/10.1007/978-3-476-05958-1_7.
Full textConference papers on the topic "Image Aesthetics"
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Ren, Jian, Xiaohui Shen, Zhe Lin, Radomir Mech, and David J. Foran. "Personalized Image Aesthetics." In 2017 IEEE International Conference on Computer Vision (ICCV). IEEE, 2017. http://dx.doi.org/10.1109/iccv.2017.76.
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Li, Yaohui, Yuzhe Yang, Huaxiong Li, Haoxing Chen, Liwu Xu, Leida Li, Yaqian Li, and Yandong Guo. "Transductive Aesthetic Preference Propagation for Personalized Image Aesthetics Assessment." In MM '22: The 30th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3503161.3548244.
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Deng, Xiang, Chaoran Cui, Huidi Fang, Xiushan Nie, and Yilong Yin. "Personalized Image Aesthetics Assessment." In CIKM '17: ACM Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3132847.3133052.
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Li, Ling, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, and Songcan Chen. "ALL-E: Aesthetics-guided Low-light Image Enhancement." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/118.
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Evaluating the performance of low-light image enhancement (LLE) is highly subjective, thus making integrating human preferences into image enhancement a necessity. Existing methods fail to consider this and present a series of potentially valid heuristic criteria for training enhancement models. In this paper, we propose a new paradigm, i.e., aesthetics-guided low-light image enhancement (ALL-E), which introduces aesthetic preferences to LLE and motivates training in a reinforcement learning framework with an aesthetic reward. Each pixel, functioning as an agent, refines itself by recursive actions, i.e., its corresponding adjustment curve is estimated sequentially. Extensive experiments show that integrating aesthetic assessment improves both subjective experience and objective evaluation. Our results on various benchmarks demonstrate the superiority of ALL-E over state-of-the-art methods. Source code: https://dongl-group.github.io/project pages/ALLE.html
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Liu, Dong, Rohit Puri, Nagendra Kamath, and Subhabrata Bhattacharya. "Composition-Aware Image Aesthetics Assessment." In 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2020. http://dx.doi.org/10.1109/wacv45572.2020.9093412.
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Simond, Florian, Nikolaos Arvanitopoulos, and Sabine Susstrunk. "Image aesthetics depends on context." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351513.
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He, Shuai, Yongchang Zhang, Rui Xie, Dongxiang Jiang, and Anlong Ming. "Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/132.
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Challenges in image aesthetics assessment (IAA) arise from that images of different themes correspond to different evaluation criteria, and learning aesthetics directly from images while ignoring the impact of theme variations on human visual perception inhibits the further development of IAA; however, existing IAA datasets and models overlook this problem. To address this issue, we show that a theme-oriented dataset and model design are effective for IAA. Specifically, 1) we elaborately build a novel dataset, called TAD66K, that contains 66K images covering 47 popular themes, and each image is densely annotated by more than 1200 people with dedicated theme evaluation criteria. 2) We develop a baseline model, TANet, which can effectively extract theme information and adaptively establish perception rules to evaluate images with different themes. 3) We develop a large-scale benchmark (the most comprehensive thus far) by comparing 17 methods with TANet on three representative datasets: AVA, FLICKR-AES and the proposed TAD66K, TANet achieves state-of-the-art performance on all three datasets. Our work offers the community an opportunity to explore more challenging directions; the code, dataset and supplementary material are available at https://github.com/woshidandan/TANet.
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Jin, Xin, Qianqian Qiao, Yi Lu, Huaye Wang, Shan Gao, Heng Huang, and Guangdong Li. "Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/849.
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Image aesthetic evaluation is a highly prominent research domain in the field of computer vision. In recent years, there has been a proliferation of datasets and corresponding evaluation methodologies for assessing the aesthetic quality of photographic works, leading to the establishment of a relatively mature research environment. However, in contrast to the extensive research in photographic aesthetics, the field of aesthetic evaluation for paintings and drawings has seen limited attention until the introduction of the BAID dataset in March 2023. This dataset solely comprises overall scores for high-quality artistic images. Our research marks the pioneering introduction of a multi-attribute, multi-category dataset specifically tailored to the field of painting: Aesthetics of Paintings and Drawings Dataset (APDD). The construction of APDD received active participation from 28 professional artists worldwide, along with dozens of students specializing in the field of art. This dataset encompasses 24 distinct artistic categories and 10 different aesthetic attributes. Each image in APDD has been evaluated by six professionally trained experts in the field of art, including assessments for both total aesthetic scores and aesthetic attribute scores. The final APDD dataset comprises a total of 4985 images, with an annotation count exceeding 31100 entries. Concurrently, we propose an innovative approach: Art Assessment Network for Specific Painting Styles (AANSPS), designed for the assessment of aesthetic attributes in mixed-attribute art datasets. Through this research, our goal is to catalyze advancements in the field of aesthetic evaluation for paintings and drawings, while enriching the available resources and methodologies for its further development and application. Dataset is available at https://github.com/BestiVictory/APDD.git
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Obrador, Pere, Ludwig Schmidt-Hackenberg, and Nuria Oliver. "The role of image composition in image aesthetics." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5654231.
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Liu, Caini, and ChengQi Xue. "Aesthetic Computational Model and Experimental Research Based on Seeking the Particle of Image Elements." In Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002880.
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As an important part of interface design, interface layout has attracted more attention. Previous researchers used mathematical methods to explore the relationship between interface layout and user aesthetics in order to quantify users' subjective feelings. However, the current computational aesthetic quantification algorithms generalize the interface elements into rectangular boxes for unified treatment by default. In the interface layout, graphic elements with different shapes will bring users different levels of aesthetic attraction. Therefore, simply "dividing" the interface elements into a series of rectangular blocks for attraction evaluation will affect the objectivity of the results. This paper proposes a computational model based on seeking the particle of image pixels and makes a multivariate linear analysis between the subjective score and the calculated values under the two computational models to explore whether the improved evaluation method is more in line with people's perceptual aesthetics. The calculation method of balance (BM) is taken as an example to verify. In the experiment, six test images are selected, and the number of image pixels and the centroid of pixels are counted with the help of Matlab and other software, which verifies the accuracy and objectivity of the new calculation method to measure the aesthetic layout of interface elements. The results show that the fitting effect between the data obtained by the beauty calculation model based on pixel particles and subjective ratings is better, which is more in line with the user's subjective preferences. Aesthetic calculation is the design trend in the future.
Reports on the topic "Image Aesthetics"
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Sarofim, Samer. Developing an Effective Targeted Mobile Application to Enhance Transportation Safety and Use of Active Transportation Modes in Fresno County: The Role of Application Design & Content. Mineta Transportation Institute, July 2021. http://dx.doi.org/10.31979/mti.2021.2013.
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This research empirically investigates the need for, and the effective design and content of, a proposed mobile application that is targeted at pedestrians and cyclists in Fresno County. The differential effect of the proposed mobile app name and colors on the target audience opinions was examined. Further, app content and features were evaluated for importance and the likelihood of use. This included design appeal, attractiveness, relevance, ease of navigation, usefulness of functions, personalization and customization, message recipients’ attitudes towards message framing, and intended behaviors related to pedestrian, cyclist, and motorist traffic safety practices. Design mobile application features tested included image aesthetics, coherence and organization, and memorability and distinction. Potential engagement with the mobile app was assessed via measuring the users’ perceived enjoyment while using the app. The behavioral intentions to adopt the app and likelihood to recommend the app were assessed. The willingness to pay for purchasing the app was measured. This research provided evidence that a mobile application designed for pedestrians and cyclists is needed, with high intentions for its adoption. Functions, such as Safety Information, Weather Conditions, Guide to Trails, Events for Walkers and Bikers, and Promotional Offers are deemed important by the target population. This research was conducted in an effort to increase active transportation mode utilization and to enhance the safety of vulnerable road users. The public, city administrators, transportation authorities, and policy makers shall benefit from the results of this study by adapting the design and the features that are proposed in this research and were found appealing and useful for the target vulnerable road user groups. The need of the proposed mobile application and its main functions are established, based on the results of this research, which propagates further steps of implementation by city administrators and transportation authorities.
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Klengel, Susanne. Pandemic Avant-Garde Urban Coexistence in Mário de Andrade’s Pauliceia Desvairada (1922) after the Spanish Flu. Maria Sibylla Merian Centre Conviviality-Inequality in Latin America, December 2020. http://dx.doi.org/10.46877/klengel.2020.30.
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The radical aesthetic of the historical avant-garde movements has often been explained as a reaction to the catastrophic experience of the First World War and a denouncement of the bourgeoisie’s responsibility for its horrors. This article explores a blind spot in these familiar interpretations of the international avant-garde. Not only the violence of the World War but also the experience of a worldwide deadly pandemic, the Spanish flu, have moulded the literary and artistic production of the 1920s. In this paper, I explore this hypothesis through the example of Mário de Andrade’s famous book of poetry Pauliceia desvairada (1922), which I reinterpret in the light of historical studies on the Spanish flu in São Paulo. An in-depth examination of all parts of this important early opus of the Brazilian Modernism shows that Mário de Andrade’s poetic images of urban coexistence simultaneously aim at a radical renewal of language and at a melancholic coming to terms with a traumatic pandemic past.