Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset
In recent years, the development of metrics to evaluate image aesthetics and photographic quality has proliferated. However, validating these metrics presents challenges due to the inherently subjective nature of aesthetics and photographic quality, which can be influenced by cultural contexts and i...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2024/8223586 |
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| author | Iria Santos Miguel A. Casal João Correia Álvaro Torrente-Patiño Penousal Machado Juan Romero |
| author_facet | Iria Santos Miguel A. Casal João Correia Álvaro Torrente-Patiño Penousal Machado Juan Romero |
| author_sort | Iria Santos |
| collection | DOAJ |
| description | In recent years, the development of metrics to evaluate image aesthetics and photographic quality has proliferated. However, validating these metrics presents challenges due to the inherently subjective nature of aesthetics and photographic quality, which can be influenced by cultural contexts and individual preferences that evolve over time. This article presents a novel validation methodology utilizing a dataset assessed by individuals from two distinct nationalities: the United States and Spain. Evaluation criteria include photographic quality and aesthetic value, with the dataset comprising images previously rated on the DPChallenge photographic portal. We analyze the correlation between these values and provide the dataset for future research endeavors. Our investigation encompasses several metrics, including BRISQUE for assessing photographic quality, NIMA aesthetic and NIMA technical for evaluating both aesthetic and technical aspects, Diffusion Aesthetics (employed in Stable Diffusion), and PhotoILike for gauging the commercial appeal of real estate images. Our findings reveal a significant correlation between the Diffusion Aesthetics metric and aesthetic measures, as well as with the NIMA aesthetics metric, suggesting them as good potential candidates to capture aesthetic value. |
| format | Article |
| id | doaj-art-30d24540964a4d3788be9aeea14c1dfc |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-30d24540964a4d3788be9aeea14c1dfc2025-02-03T11:53:34ZengWileyComplexity1099-05262024-01-01202410.1155/2024/8223586Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive DatasetIria Santos0Miguel A. Casal1João Correia2Álvaro Torrente-Patiño3Penousal Machado4Juan Romero5CITIC—Research Center of Information and Communication TechnologiesCITIC—Research Center of Information and Communication TechnologiesCISUCCITIC—Research Center of Information and Communication TechnologiesCISUCCITIC—Research Center of Information and Communication TechnologiesIn recent years, the development of metrics to evaluate image aesthetics and photographic quality has proliferated. However, validating these metrics presents challenges due to the inherently subjective nature of aesthetics and photographic quality, which can be influenced by cultural contexts and individual preferences that evolve over time. This article presents a novel validation methodology utilizing a dataset assessed by individuals from two distinct nationalities: the United States and Spain. Evaluation criteria include photographic quality and aesthetic value, with the dataset comprising images previously rated on the DPChallenge photographic portal. We analyze the correlation between these values and provide the dataset for future research endeavors. Our investigation encompasses several metrics, including BRISQUE for assessing photographic quality, NIMA aesthetic and NIMA technical for evaluating both aesthetic and technical aspects, Diffusion Aesthetics (employed in Stable Diffusion), and PhotoILike for gauging the commercial appeal of real estate images. Our findings reveal a significant correlation between the Diffusion Aesthetics metric and aesthetic measures, as well as with the NIMA aesthetics metric, suggesting them as good potential candidates to capture aesthetic value.http://dx.doi.org/10.1155/2024/8223586 |
| spellingShingle | Iria Santos Miguel A. Casal João Correia Álvaro Torrente-Patiño Penousal Machado Juan Romero Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset Complexity |
| title | Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset |
| title_full | Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset |
| title_fullStr | Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset |
| title_full_unstemmed | Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset |
| title_short | Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset |
| title_sort | towards robust evaluation of aesthetic and photographic quality metrics insights from a comprehensive dataset |
| url | http://dx.doi.org/10.1155/2024/8223586 |
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