Perspectives on Image Aesthetic Evaluation Techniques
With the advancement of technology, support of datasets, cross-fertilization of disciplines, and increasing demand for reference scenarios, image aesthetics has become an active research field and has been widely applied in real life. This paper discusses the application of deep learning in image ae...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03004.pdf |
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| _version_ | 1825206565309775872 |
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| author | Yang Kaiwei |
| author_facet | Yang Kaiwei |
| author_sort | Yang Kaiwei |
| collection | DOAJ |
| description | With the advancement of technology, support of datasets, cross-fertilization of disciplines, and increasing demand for reference scenarios, image aesthetics has become an active research field and has been widely applied in real life. This paper discusses the application of deep learning in image aesthetics evaluation, including the selection of datasets and the process of image aesthetics evaluation (including aesthetics feature extraction and aesthetics evaluation decision-making), analyzes the application of aesthetics evaluation techniques, and looks forward to the technological prospect. Although deep learning technology can improve the accuracy of evaluation and has achieved some results in aesthetic evaluation tasks, the technology still faces challenges such as high subjectivity and poor diversity, and it is believed that with the progress of science and technology, these problems will be solved. This paper also provides basic information on image aesthetic evaluation, analyzes the research trends in image aesthetic evaluation, and provides insights into future research directions. |
| format | Article |
| id | doaj-art-64f627a758b944a98d76361a9555acdb |
| institution | Kabale University |
| issn | 2271-2097 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-64f627a758b944a98d76361a9555acdb2025-02-07T08:21:12ZengEDP SciencesITM Web of Conferences2271-20972025-01-01700300410.1051/itmconf/20257003004itmconf_dai2024_03004Perspectives on Image Aesthetic Evaluation TechniquesYang Kaiwei0Beijing New Channel - Dongfanghong SchoolWith the advancement of technology, support of datasets, cross-fertilization of disciplines, and increasing demand for reference scenarios, image aesthetics has become an active research field and has been widely applied in real life. This paper discusses the application of deep learning in image aesthetics evaluation, including the selection of datasets and the process of image aesthetics evaluation (including aesthetics feature extraction and aesthetics evaluation decision-making), analyzes the application of aesthetics evaluation techniques, and looks forward to the technological prospect. Although deep learning technology can improve the accuracy of evaluation and has achieved some results in aesthetic evaluation tasks, the technology still faces challenges such as high subjectivity and poor diversity, and it is believed that with the progress of science and technology, these problems will be solved. This paper also provides basic information on image aesthetic evaluation, analyzes the research trends in image aesthetic evaluation, and provides insights into future research directions.https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03004.pdf |
| spellingShingle | Yang Kaiwei Perspectives on Image Aesthetic Evaluation Techniques ITM Web of Conferences |
| title | Perspectives on Image Aesthetic Evaluation Techniques |
| title_full | Perspectives on Image Aesthetic Evaluation Techniques |
| title_fullStr | Perspectives on Image Aesthetic Evaluation Techniques |
| title_full_unstemmed | Perspectives on Image Aesthetic Evaluation Techniques |
| title_short | Perspectives on Image Aesthetic Evaluation Techniques |
| title_sort | perspectives on image aesthetic evaluation techniques |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03004.pdf |
| work_keys_str_mv | AT yangkaiwei perspectivesonimageaestheticevaluationtechniques |