Готові списки джерел за темами / Aesthetics Assessment

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Автор: Grafiati
Опубліковано: 12 вересня 2023

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Статті в журналах з теми "Aesthetics Assessment"

1

Elwazani, Salim. "Purposing aesthetics in historic preservation: advocating, signifying, and interpreting aesthetics." Virtual Archaeology Review 12, no. 24 (January 19, 2021): 66. http://dx.doi.org/10.4995/var.2021.13812.

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Анотація:
<p>Aesthetics is a pillar consideration in historic preservation. Yet, purposing aesthetics for historic preservation ends seems to lag behind the opportunities. Utterly subjective, aesthetics poses challenges for the preservation community worldwide to moderate, accommodate, and purpose aesthetics in heritage programs. The challenges revolve around the assessment of aesthetical purposing in three domains. These domains include the community disposition towards accommodating aesthetics (advocacy), the criteria and strategies for assessing the aesthetic value of historic resources (signification), and, the standards for treating historic resources in preservation projects (interpretation). This study, therefore, assesses the trends for purposing aesthetics in historic preservation thought and practice through three platforms: advocating aesthetics, signifying aesthetics, and interpreting aesthetics. The study completed literature content analysis on aesthetics in general and aesthetics in historic preservation in particular. Further, because of the perspective of the study, the works of international and country preservation programs provided information relevant to advocacy, signification, and interpretation of aesthetics that have been refined by classification, comparison, and exemplification methods. Among others, these works include those of the International Council on Monuments and Sites (ICOMOS) and the U.S. National Historic Preservation Program in the National Park Service. The study culminated with general and platform-specific conclusions. First, as the three proposed platforms (advocacy, signification, and interpretation) maintain structural and serial relationships, they constitute a relevant and feasible framework for assessing aesthetical purposing. Second, as the aesthetical purposing assessment followed a broad, international perspective, the conclusions of the study are commensurate with the selective scope of information used from international and country preservation programs. Third, the contribution to aesthetical purposing at each of the three platforms can be measure only in general, and at times, subjective terms.</p><p><strong>Highlights:</strong></p><ul><li><p>Proposing aesthetical advocacy, aesthetical signification, and aesthetical interpretation as a platform framework to assess the purposing of aesthetics was feasible.</p></li><li><p>As aesthetical purposing was approached from a broad, international perspective, the conclusions of the study commensurate with the selective scope of information used.</p></li><li><p>The contribution to aesthetical purposing at each of the three platforms is hard to measure; however, the indications point to uneven contribution.</p></li></ul>
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2

Leong, S. C. L., M. Abdelkader, and P. S. White. "Changes in nasal aesthetics following nasal bone manipulation." Journal of Laryngology & Otology 122, no. 1 (May 14, 2007): 38–41. http://dx.doi.org/10.1017/s0022215107008225.

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AbstractNasal bone fractures are the commonest type of bony facial injury causing aesthetic deformity. The aim of this study was to identify the effect of nasal trauma and fracture manipulation on the aesthetic proportions of the nose, by comparing pre- and post-treatment nasal aesthetics. Thirty-two patients (26 men and 6 women) underwent aesthetic assessment prior to treatment of the injury by closed nasal manipulation, 7 to 10 days after the initial injury. Standard facial aesthetic photographic assessments were performed prior to and following manipulation. Assessment involved measurement of standard nasal aesthetic parameters. In the nasal trauma cohort, the main anomalies in nasal aesthetics were nasal deviation and differences in the nasal aesthetic profile. Nasal fracture manipulation successfully reduced deviation from an average of 35° pre-manipulation to an average of 9° post-manipulation.
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3

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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Анотація:
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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4

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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Анотація:
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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5

Grazuleviciute-Vileniske, Indre, Gediminas Viliunas, and Aurelija Daugelaite. "The role of aesthetics in building sustainability assessment." Spatium, no. 45 (2021): 79–89. http://dx.doi.org/10.2298/spat2145079g.

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Анотація:
This theoretical study examines the role of aesthetics in the assessment frameworks of sustainable architecture. The article is organized into two main sections: a general literature review and the results. The results section encompasses an analysis of the place of aesthetic quality in the understanding of sustainable architecture, and an overview and discussion of the general sustainable building assessment frameworks and the main sustainable buildings certification systems (LEED, BREEAM, WELL, Living Building Challenge), identifying the existing and potential place of cultural sustainability and aesthetics in them. Finally, four architectural theories holding the potential for balancing human and environmental criteria in the assessment of sustainable architecture are presented. These theories are: sustainability aesthetics, genius loci, biophilia, and a regenerative approach. The conclusion was made that these approaches hold the potential for the breakthrough of aesthetic quality and uniqueness of sustainable architecture.
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6

Tribot, Anne-Sophie, Julie Deter, and Nicolas Mouquet. "Integrating the aesthetic value of landscapes and biological diversity." Proceedings of the Royal Society B: Biological Sciences 285, no. 1886 (September 5, 2018): 20180971. http://dx.doi.org/10.1098/rspb.2018.0971.

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Анотація:
As a cultural ecosystem service, the aesthetic value of landscapes contributes to human well-being, but studies linking biodiversity and ecosystem services generally do not account for this particular service. Therefore, congruence between the aesthetic perception of landscapes, ecological value and biodiversity remains poorly understood. Here, we describe the conceptual background, current methodologies and future challenges of assessing landscape aesthetics and its relationship with biodiversity. We highlight the methodological gaps between the assessment of landscape aesthetics, ecological diversity and functioning. We discuss the challenges associated with connecting landscape aesthetics with ecological value, and the scaling issues in the assessment of human aesthetics perception. To better integrate aesthetic value and ecological components of biodiversity, we propose to combine the study of aesthetics and the understanding of ecological function at both the species and landscape levels. Given the urgent need to engage society in conservation efforts, this approach, based on the combination of the aesthetic experience and the recognition of ecological functioning by the general public, will help change our culture of nature and promote ecologically oriented conservation policies.
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7

Kim, Min Soon, Juliano C. Sbalchiero, Gregory P. Reece, Michael J. Miller, Elisabeth K. Beahm, and Mia K. Markey. "Assessment of Breast Aesthetics." Plastic and Reconstructive Surgery 121, no. 4 (April 2008): 186e—194e. http://dx.doi.org/10.1097/01.prs.0000304593.74672.b8.

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8

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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Анотація:
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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9

Schwirtz, Roderic M. F., Frans J. Mulder, David G. M. Mosmuller, Robin A. Tan, Thomas J. Maal, Charlotte Prahl, Henrica C. W. de Vet, and J. Peter W. Don Griot. "Rating Nasolabial Aesthetics in Unilateral Cleft Lip and Palate Patients." Cleft Palate-Craniofacial Journal 55, no. 5 (January 19, 2018): 747–52. http://dx.doi.org/10.1177/1055665617747702.

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Анотація:
Objective: To determine if cropping facial images affects nasolabial aesthetics assessments in unilateral cleft lip patients and to evaluate the effect of facial attractiveness on nasolabial evaluation. Design: Two cleft surgeons and one cleft orthodontist assessed standardized frontal photographs 4 times; nasolabial aesthetics were rated on cropped and full-face images using the Cleft Aesthetic Rating Scale, and total facial attractiveness was rated on full-face images with and without the nasolabial area blurred using a 5-point Likert scale. Setting: Cleft Palate Craniofacial Unit of a University Medical Center. Patients: Inclusion criteria: nonsyndromic unilateral cleft lip and an available frontal view photograph around 10 years of age. Exclusion criteria: a history of facial trauma and an incomplete cleft. Eighty-one photographs were available for assessment. Main Outcome Measures: Differences in mean CARS scores between cropped versus full-face photographs and attractive versus unattractive rated patients were evaluated by paired t test. Results: Nasolabial aesthetics are scored more negatively on full-face photographs compared to cropped photographs, regardless of facial attractiveness. (Mean CARS score, nose: cropped = 2.8, full-face = 3.0, P < .001; lip: cropped = 2.4, full-face = 2.7, P < .001; nose and lip: cropped = 2.6, full-face = 2.8, P < .001). Conclusion: Aesthetic outcomes of the nasolabial area are assessed significantly more positively when using cropped images compared to full-face images. For this reason, cropping images, revealing the nasolabial area only, is recommended for aesthetical assessments.
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10

SULTANOV, M. SH, and O. A. SOCHAEV. "EVALUATION OF THE AESTHETIC RESULT OF A SINGLE DENTAL IMPLANT PROSTHETICS." AVICENNA BULLETIN 25, no. 2 (2023): 201–14. http://dx.doi.org/10.25005/2074-0581-2023-25-2-201-214.

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Анотація:
Objective: A comparative assessment of the aesthetic result of a single dental implant (DI) prosthetics using standard or custom abutments. Methods: A customized gingival former and a custom abutment were applied in patients of the main group, while patients of the control group received a standard gingival former and a stock abutment. The aesthetic assessment was carried out on photographs using the Pink Esthetic Score (PES) and White Esthetic Score (WES) scales. Results: Better aesthetic results were obtained in the main group compared to the control one. At subsequent stages of the study, a further aesthetical improvement was observed compared with the initial assessment result. Conclusion: The formation of a marginal gingiva matching the anatomical shape of the neck of the missing tooth enables to fabricate a customized abutment and a dental crown of the correct anatomical shape. The physiological dimensions and the correct eruption profile of the prosthetic crown contribute to the formation of interdental papillae where they were originally absent. The listed advantages of this method improve the RES and PES results of prosthetics on a single-unit DI. Keywords: Prosthetics on dental implants, crown on a single-unit dental implant, custom abutment, gingival papilla, pink aesthetics, white aesthetics.
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Дисертації з теми "Aesthetics Assessment"

1

Fourie, René. "Applying GIS in the evaluation of landscape aesthetics /." Link to the online version, 2005. http://hdl.handle.net/10019/1644.

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Kuzovkin, Dmitry. "Assessment of photos in albums based on aesthetics and context." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S032/document.

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Анотація:
Le processus de sélection de photos dans des albums peut être considérablement amélioré à l’aide d’un critère d’évaluation automatique des qualités d’une photo. Cependant, les méthodes existantes abordent ce problème de manière indépendante, c’est à dire en évaluant chaque image séparément des autres images d'un album. Dans cette thèse, nous explorons la modélisation du contexte d’une photo via une approche de clustering de collections de photos et la possibilité d'appliquer l’information de contexte à l'évaluation d’une photo. Nous avons effectué des études subjectives permettant d’étudier la manière dont les utilisateurs regroupent et sélectionnent des photos dans un album. Ces études ont permis une estimation du niveau de l’accord entre les différents utilisateurs. Nous avons aussi étudié la manière dont le contexte influence leurs décisions. Après avoir étudié la nature des décisions des utilisateurs, nous proposons une approche informatique pour modéliser leur comportement. Tout d'abord, nous introduisons une méthode de clustering hiérarchique, qui permet de regrouper des photos similaires selon une structure de similarité à plusieurs niveaux, basée sur des descripteurs visuels. Ensuite, les informations de contexte de la photo sont utilisées pour adapter le score de la photo pré-calculé indépendamment, en utilisant les données basées sur des statistiques et une approche d'apprentissage automatique. De plus, comme la majorité des méthodes récentes d'évaluation de la photo sont basées sur des réseaux de neurones convolutionnels, nous avons exploré et visualisé les caractéristiques esthétiques apprises par ces méthodes
An automatic photo assessment can significantly aid the process of photo selection within photo collections. However, existing computational methods approach this problem in an independent manner, by evaluating each image apart from other images in a photo album. In this thesis, we explore the modeling of photo context via a clustering approach for photo collections and the possibility of applying such context information in photo assessment. To better understand user actions within photo albums, we conduct experimental user studies, where we study how users cluster and select photos in photo collections. We estimate the level of agreement between users and investigate how the context, defined by similar photos in corresponding clusters, influences their decisions. After studying the nature of user decisions, we propose a computational approach to model user behavior. First, we introduce a hierarchical clustering method, which allows to group similar photos according to a multi-level similarity structure, based on visual descriptors. Then, the photo context information is extracted from the obtained cluster data and used to adapt a pre-computed independent photo score, using the statistics-based data and a machine learning approach. In addition, as the majority of recent methods for photo assessment are based on convolutional neural networks, we explore and visualize the aesthetic characteristics learned by such methods
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3

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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Анотація:
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 ressources
To 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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4

Fourie, Rene. "Applying GIS in the evaluation of landscape aesthetics." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/1813.

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Анотація:
Thesis (MA (Geography and Environmental Studies))--University of Stellenbosch, 2005.
Scenic beauty, or landscape aesthetics, should be regarded as a valuable resource, to be protected and enhanced in order to generate income. Current environmental impact assessment (EIA) studies do not include the evaluation of scenic beauty as a resource properly, due to the lack of effective evaluation methods. A general dilemma lies in objectively evaluating beauty. If scenic preferences can be associated consistently with the physical landscape features, the latter can be used as predictors of the former. Analysis of aesthetics can therefore be done with a degree of objectivity, based on these general preferences. A large number of these preferences are morphologically measurable. In other words, these preferences can be mapped in a Geographical Information System (GIS), rated, and evaluated quantitatively. The first step in objectively evaluating landscape aesthetics entailed identification and compilation from the literature of conceptual components in a landscape, i.e. the units defining a landscape. Four components were identified: landform, vegetation, water features and man-made features. Each of the four components can be subdivided into several elements. Secondly, scenic preferences that can be consistently associated with landscape features were identified. It was found that any subjective experience of landscape aesthetics would be either one of calmness or one of excitement. The presence or absence of the landscape elements, and specific combinations of elements and element variables within the context of an individual landscape, will determine the type and extent of the aesthetic experience of the viewer. Finally, this theory was put into practice. Coverages were created of a test region, with landscape elements as the features of the coverages, and element variables or characteristics as feature attributes. These landscape elements, as they enhance either calmness or excitement, were quantified by assigning value ratings to the elements according to the extent of the influence of the elements on the aesthetic value of the landscape. ArcInfo GRID functionality was used to convert the coverages to raster (or grid) overlays, using the element variables enhancing both calmness and excitement. A simple cumulative summing function was used to derive an aggregate Calm Aesthetic Experience map by adding grids enhancing calmness. An aggregate Exciting Aesthetic Experience map was constructed by adding grids enhancing excitement. Finally, these two grids were summed in order to construct a Total Aesthetic Experience map, which is an indication of the total aesthetic value of the test region. The outcome of this research was a method for analysis and objective evaluation of a landscape, using a GIS for data creation, analysis and map construction. The resultant map is an indication of aesthetic value, showing the test region graded according to intrinsic aesthetic value.
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5

Lothian, Andrew. "Landscape quality assessment of South Australia." Title page, table of contents, abstract and detailed contents only, 2000. http://hdl.handle.net/2440/37804.

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Анотація:
The object of this thesis is to provide, through a thorough analysis of human perception and interaction with aesthetics and landscape quality, a comprehensive basis on which to develop a credible methodology for the large scale assessment of perceived landscape quality. The analysis of human perception and interaction with aesthetics and landscape quality is gained by inquiring in depth into a range of theoretical constructs from key disciplines, cultural aspects, and empirical studies covering : 1. the contribution of philosophers to aesthetics 2. the psychology of perception and colour 3. the contribution of Gestalt psychology to aesthetics 4. the psychoanalytical construct of human responses to aesthetics 5. the influence of culture on landscape preferences, tracing the changing perceptions of mountains, the portrayal of landscapes in art, and the design of parks and gardens 6. a review of over 200 surveys of landscape quality in the late 20th century, including typologies and theories of landscape quality Based on the analysis of these and the knowledge gained, an empirical study is formulated and conducted, comprising a study of landscape quality of South Australia, an area of nearly 1 million km - 1. This involves, firstly, the acquisition of data covering the delineation of landscape character regions for the State, photography of these landscapes, derivation of a set of representative slides, and rating of these by groups of participants. Secondly, these preference ratings are comprehensively analysed on the basis of the attributes of the scenes covering land form, land cover, land use, water bodies, naturalism, diversity and colour. Thirdly, the results are applied as follows: 1. a map of landscape quality of South Australia is derived 2. the results are used to predict the effect that changes in land use ( e.g. clearance of trees ) will have on landscape quality 3. the theoretical constructs of landscape quality are evaluated on the basis of the preference ratings 4. a protocol is detailed to guide the undertaking of large - scale landscape quality assessment. The thesis thus fulfils the objective of conducting a thorough analysis of human perception and interaction with, aesthetics and landscape quality, to provide a basis for developing a credible methodology for the large - scale assessment of perceived landscape quality.
Thesis (Ph.D.)--School of Social Sciences, 2000.
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6

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.

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7

Tan, Joseph Tsun Daw. "Hypothetical Etiology and Competitive Assessment of Terahertz Light Induced Rhytide Improvement." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1327511578.

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8

Kang, Chen. "Image Aesthetic Quality Assessment Based on Deep Neural Networks." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG004.

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Анотація:
Avec le développement des dispositifs de capture et d'Internet, les gens accèdent à un nombre croissant d'images. L'évaluation de l'esthétique visuelle a des applications importantes dans plusieurs domaines, de la récupération d'image et de la recommandation à l'amélioration. L'évaluation de la qualité esthétique de l'image vise à déterminer la beauté d'une image pour les observateurs humains. De nombreux problèmes dans ce domaine ne sont pas bien étudiés, y compris la subjectivité de l'évaluation de la qualité esthétique, l'explication de l'esthétique et la collecte de données annotées par l'homme. La prédiction conventionnelle de la qualité esthétique des images vise à prédire le score moyen ou la classe esthétique d'une image. Cependant, la prédiction esthétique est intrinsèquement subjective, et des images avec des scores / classe esthétiques moyens similaires peuvent afficher des niveaux de consensus très différents par les évaluateurs humains. Des travaux récents ont traité de la subjectivité esthétique en prédisant la distribution des scores humains, mais la prédiction de la distribution n'est pas directement interprétable en termes de subjectivité et pourrait être sous-optimale par rapport à l'estimation directe des descripteurs de subjectivité calculés à partir des scores de vérité terrain. De plus, les étiquettes des ensembles de données existants sont souvent bruyantes, incomplètes ou ne permettent pas des tâches plus sophistiquées telles que comprendre pourquoi une image est belle ou non pour un observateur humain. Dans cette thèse, nous proposons tout d'abord plusieurs mesures de la subjectivité, allant de simples mesures statistiques telles que l'écart type des scores, aux descripteurs nouvellement proposés inspirés de la théorie de l'information. Nous évaluons les performances de prédiction de ces mesures lorsqu'elles sont calculées à partir de distributions de scores prédites et lorsqu'elles sont directement apprises à partir de données de vérité terrain. Nous constatons que cette dernière stratégie donne en général de meilleurs résultats. Nous utilisons également la subjectivité pour améliorer la prédiction des scores esthétiques, montrant que les mesures de subjectivité inspirées de la théorie de l'information fonctionnent mieux que les mesures statistiques. Ensuite, nous proposons un ensemble de données EVA (Explainable Visual Aesthetics), qui contient 4070 images avec au moins 30 votes par image. EVA a été collecté en utilisant une approche plus disciplinée inspirée des meilleures pratiques d'évaluation de la qualité. Il offre également des caractéristiques supplémentaires, telles que le degré de difficulté à évaluer le score esthétique, l'évaluation de 4 attributs esthétiques complémentaires, ainsi que l'importance relative de chaque attribut pour se forger une opinion esthétique. L'ensemble de données accessible au public devrait contribuer aux recherches futures sur la compréhension et la prédiction de l'esthétique de la qualité visuelle. De plus, nous avons étudié l'explicabilité de l'évaluation de la qualité esthétique de l'image. Une analyse statistique sur EVA démontre que les attributs collectés et l'importance relative peuvent être combinés linéairement pour expliquer efficacement les scores d'opinion moyenne esthétique globale. Nous avons trouvé que la subjectivité a une corrélation limitée avec la difficulté personnelle moyenne dans l'évaluation esthétique, et la région du sujet, le niveau photographique et l'âge affectent de manière significative l'évaluation esthétique de l'utilisateur
With the development of capture devices and the Internet, people access to an increasing amount of images. Assessing visual aesthetics has important applications in several domains, from image retrieval and recommendation to enhancement. Image aesthetic quality assessment aims at determining how beautiful an image looks to human observers. Many problems in this field are not studied well, including the subjectivity of aesthetic quality assessment, explanation of aesthetics and the human-annotated data collection. Conventional image aesthetic quality prediction aims at predicting the average score or aesthetic class of a picture. However, the aesthetic prediction is intrinsically subjective, and images with similar mean aesthetic scores/class might display very different levels of consensus by human raters. Recent work has dealt with aesthetic subjectivity by predicting the distribution of human scores, but predicting the distribution is not directly interpretable in terms of subjectivity, and might be sub-optimal compared to directly estimating subjectivity descriptors computed from ground-truth scores. Furthermore, labels in existing datasets are often noisy, incomplete or they do not allow more sophisticated tasks such as understanding why an image looks beautiful or not to a human observer. In this thesis, we first propose several measures of subjectivity, ranging from simple statistical measures such as the standard deviation of the scores, to newly proposed descriptors inspired by information theory. We evaluate the prediction performance of these measures when they are computed from predicted score distributions and when they are directly learned from ground-truth data. We find that the latter strategy provides in general better results. We also use the subjectivity to improve predicting aesthetic scores, showing that information theory inspired subjectivity measures perform better than statistical measures. Then, we propose an Explainable Visual Aesthetics (EVA) dataset, which contains 4070 images with at least 30 votes per image. EVA has been crowd-sourced using a more disciplined approach inspired by quality assessment best practices. It also offers additional features, such as the degree of difficulty in assessing the aesthetic score, rating for 4 complementary aesthetic attributes, as well as the relative importance of each attribute to form aesthetic opinions. The publicly available dataset is expected to contribute to future research on understanding and predicting visual quality aesthetics. Additionally, we studied the explainability of image aesthetic quality assessment. A statistical analysis on EVA demonstrates that the collected attributes and relative importance can be linearly combined to explain effectively the overall aesthetic mean opinion scores. We found subjectivity has a limited correlation to average personal difficulty in aesthetic assessment, and the subject's region, photographic level and age affect the user's aesthetic assessment significantly
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9

Greene, Lawrence D. "Prediction of aesthetic response: a comparison of different philosophical paradigms' predictive utilities of aesthetic response towards natural landscape scenes." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/49784.

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Pembegul, Tugba. "Assessment Of Convention Centers From Users." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610581/index.pdf.

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This study firstly aims to identify facility features of the convention centers and then propose a method in order to identify users&rsquo
priorities and evaluate what extent these were provided by the convention centre. Data has been collected using self-administered questionnaires from three group of users
attendees, employees and meeting planners. The study has been conducted in istanbul Lü
tfi Kirdar Convention and Exhibition Center as a case, because of being the most remarkable convention center of Turkey. Each participant will be required to assess this convention center in terms of their priorities of expectations and features provided. The results have been evaluated statistically, and significant differences between the level of importance and performance of the facility features have been presented. This research is expected to be useful for constitution of design criteria of convention centers and effective management of the facilities, in terms of both identifying the features of convention centers and providing a method evaluating the performance of the facilities from the users&rsquo
perspective.
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Книги з теми "Aesthetics Assessment"

1

The aesthetics of environment. Philadelphia: Temple University Press, 1992.

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The aesthetics of landscape. London: Belhaven Press, 1991.

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Árnason, Arnar. Landscapes beyond land: Routes, aesthetics, narratives. New York: Berghahn Books, 2012.

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4

1944-, Klein Evelin E., Klein Hans-Dieter, and Birkhan Ines 1974-, eds. Technikkritik und Ästhetik. Frankfurt am Main: P. Lang, 2007.

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5

Interpretare il paesaggio: Qualità territoriale e valorizzazione delle identità locali. Roma: Aracne, 2011.

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Nature and landscape: An introduction to environmental aesthetics. New York: Columbia University Press, 2009.

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7

Robert, Schäfer, ed. Was heisst denn schon Natur?: Ein Essaywettbewerb. München: Callwey, 1993.

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8

Berleant, Arnold. Living in the landscape: Toward an aesthetics of environment. Lawrence: University Press of Kansas, 1997.

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9

Hội thảo thả̂m mỹ môi trường (1999 Hanoi, Vietnam). Kỹ yé̂u Hội thảo thả̂m mỹ môi trường. [Hà Nội]: Nhà xuá̂t bản Mỹ thuật, 2002.

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10

Andrews, Malcolm. The search for the picturesque: Landscape aesthetics and tourism in Britain, 1760-1800. Aldershot: Scolar, 1989.

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Частини книг з теми "Aesthetics Assessment"

1

Cooper, Lyndon F., and Homayoun H. Zadeh. "Recognition of Risk Factors and Patient Assessment." In Implant Aesthetics, 3–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50706-4_1.

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Hsu, Yung-Ting, and Hom-Lay Wang. "Clinical Assessment of the Gingiva and Alveolus." In Implant Aesthetics, 103–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50706-4_7.

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Sanford, Robert M., and Donald G. Holtgrieve. "Aesthetics and visual impact analysis." In Environmental Impact Assessment in the United States, 161–70. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003030713-12.

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Zou, Ruoyu, Jiangbo Xu, and Ziyu Xue. "Technological Development of Image Aesthetics Assessment." In Lecture Notes in Computer Science, 341–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87361-5_28.

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Apostolidis, Konstantinos, and Vasileios Mezaris. "Image Aesthetics Assessment Using Fully Convolutional Neural Networks." In MultiMedia Modeling, 361–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05710-7_30.

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Liu, Huihui, Chaoran Cui, Yuling Ma, Cheng Shi, Yongchao Xu, and Yilong Yin. "Image Aesthetics Assessment Based on User Social Behavior." In Advances in Multimedia Information Processing – PCM 2018, 755–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00776-8_69.

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Doshi, Nishi, Gitam Shikkenawis, and Suman K. Mitra. "Image Aesthetics Assessment Using Multi Channel Convolutional Neural Networks." In Communications in Computer and Information Science, 15–24. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4018-9_2.

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Lu, Peng, Zhijie Kuang, Xujun Peng, and Ruifan Li. "Discovering Harmony: A Hierarchical Colour Harmony Model for Aesthetics Assessment." In Computer Vision -- ACCV 2014, 452–67. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16811-1_30.

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Gragson, Ted L., and Andrew G. Keeler. "Aesthetics and Practice of Maintaining the Ideal Lawn in Peachtree City, GA." In Turf Grass: Pesticide Exposure Assessment and Predictive Modeling Tools, 11–22. Washington DC: American Chemical Society, 2009. http://dx.doi.org/10.1021/bk-2009-1028.ch002.

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Oyedele, Adesegun, Soonkwan Hong, and Michael S. Minor. "Individual Assessment of Humanlike Consumer Robots: An Extended Tam with Aesthetics." In Revolution in Marketing: Market Driving Changes, 67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11761-4_32.

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Тези доповідей конференцій з теми "Aesthetics Assessment"

1

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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3

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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4

Mai, Long, Hailin Jin, and Feng Liu. "Composition-Preserving Deep Photo Aesthetics Assessment." In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2016. http://dx.doi.org/10.1109/cvpr.2016.60.

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Kang, Chen, Giuseppe Valenzise, and Frederic Dufaux. "Predicting Subjectivity in Image Aesthetics Assessment." In 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2019. http://dx.doi.org/10.1109/mmsp.2019.8901716.

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Duan, Jiachen, Pengfei Chen, Leida Li, Jinjian Wu, and Guangming Shi. "Semantic Attribute Guided Image Aesthetics Assessment." In 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE, 2022. http://dx.doi.org/10.1109/vcip56404.2022.10008896.

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Bianco, Simone, Luigi Celona, and Raimondo Schettini. "Aesthetics Assessment of Images Containing Faces." In 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018. http://dx.doi.org/10.1109/icip.2018.8451368.

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8

Iranfar, Maryam, and Hourakhsh Ahmad Nia. "The Synthesis of Ethics and Aesthetics in Modern Movement of Architecture: ‘Truth’ Theory as an Assessment Tool." In 4th International Conference of Contemporary Affairs in Architecture and Urbanism – Full book proceedings of ICCAUA2020, 20-21 May 2021. Alanya Hamdullah Emin Paşa University, 2021. http://dx.doi.org/10.38027/iccaua2021235n17.

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Architects and designers are obligated to think comprehensively to create aesthetically pleasing buildings together with functional features. The modern movement of architecture represents a dramatic movement in the buildings design to create a different functional and new architecture. There is a debate about the priority of beauty (aesthetics) and functionality (ethics) in this architectural style and leads to ambiguity in evaluating ethics and aesthetics. Hence, the study aims to understand the relationship between ethics and aesthetics value in architecture's modern movement. This study hypothesizes that there is a significant relationship between ethical and aesthetical values through the functionality of modern architecture. The study has proposed a conceptual model to be applied in future studies on different case studies. This is through assessment tools to evaluate the presence of ethics and aesthetics in modern architectural style.
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Wang, Zhangyang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane Beck, and Thomas Huang. "Image aesthetics assessment using Deep Chatterjee's machine." In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7965953.

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Cui, Chaoran, Huidi Fang, Xiang Deng, Xiushan Nie, Hongshuai Dai, and Yilong Yin. "Distribution-oriented Aesthetics Assessment for Image Search." In SIGIR '17: The 40th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3077136.3080704.

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Звіти організацій з теми "Aesthetics Assessment"

1

McCoy-Sulentic, Miles, Diane Menuz, and Rebecca Lee. Central Basin and Range Ecoregion Wetland Assessment and Landscape Analysis. Utah Geological Survey, November 2021. http://dx.doi.org/10.34191/ofr-738.

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Wetlands in the arid Central Basin and Range (“Central Basin”) ecoregion of Utah are scarce but provide important functions including critical habitat for wildlife including Species of Greatest Conservation Need and migratory birds, water quality improvement, and recreational and aesthetic values. The Utah Geological Survey (UGS) conducted a study in 2019 and 2020 to better understand the location, type, condition, and potential function of wetlands in the ecoregion. This study focused on areas in the Great Salt Lake and Escalante Desert-Sevier Lake (“Sevier Basin”) HUC6 watersheds within the Central Basin to complement previous work by the UGS that focused on other watersheds in the ecoregion.
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NELYUBINA, E., and L. PANFILOVA. ASSESSMENT OF THE QUALITY OF EDUCATIONAL ELECTRONIC PUBLICATIONS AND RESOURCES. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-85-97.

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Now the whole life of a person has switched to online mode. These changes also affected the education system. This means the need to introduce new technologies into the educational process. Books, manuals, printed publications are being replaced by electronic educational resources. Providing up-to-date, verified information to students has always been and remains one of the most important functions of the teacher. Unfortunately, with the transition of training to the online mode, the teacher cannot use his literature when conducting classes. In this regard, there is a need to use electronic resources. On the one hand, the development of the global network implies the presence of a large number of a wide variety of sites, which cannot but be a positive aspect, because both the teacher and the student can independently choose a resource that will be most understandable. But on the other hand, the variety of Internet resources implies the presence of unverified, false information, which can negatively affect the quality of education. That is why it is necessary to analyze new information systems. The problem is the presence of a large number of information technologies and resources used in education. Purpose. The goal is to conduct a comparative analysis of educational electronic publications and resources most often used by teachers of the natural science cycle in terms of their fullness, accessibility and use in the educational process. Method or methodology of the work. The requirements for the organization of a comprehensive examination suggest an approach that includes an examination of technical and technological, psychological, pedagogical and design-ergonomic aspects of the creation and use of educational electronic publications and resources, in our work we were based precisely on generalized research methods: 1) Technical and technological expertise (technical component of the site, its position in the network). 2) Psychological and pedagogical expertise (component by the type of educational electronic publication or resource, level of education, type and form of the educational process, assessment of the content and scenario of the informatization tool). 3) Design-ergonomic expertise (assessment of the quality of interface components of educational electronic publications and resources, their compliance with uniform ergonomic, aesthetic and health-saving requirements; assessment of the quality of interface components of educational electronic editions and resources, their compliance with uniform ergonomic, aesthetic and health-saving requirements). Results. The main sites that are frequently used by teachers of the natural science cycle of disciplines are the Russian Textbook corporation, the Enlightenment group of companies, the Binom publishing house, the Digital Age School, the practical significance of the study is determined by the high level of readiness of the results obtained, during the study it was found that it is advisable to introduce an information-electronic educational site - the Russian textbook corporation - into the pedagogical practice of the implementation of natural science subjects. The advantages of this server were established and recommendations for its use in the educational process were developed. Practical implications: the results obtained are expedient to be applied in educational institutions of the Russian Federation.
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