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 |
| Published: |
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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| Summary: | 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. |
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| ISSN: | 2271-2097 |