Learning to assess visual aesthetics of food images
文献类型：期刊论文
| 作者 | Sheng, Kekai3,4 ; Dong, Weiming4; Huang, Haibin2; Chai, Menglei5; Zhang, Yong1; Ma, Chongyang2; Hu, Bao-Gang4
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| 刊名 | COMPUTATIONAL VISUAL MEDIA
 |
| 出版日期 | 2021-03-01 |
| 卷号 | 7期号:1页码:139-152 |
| 关键词 | image aesthetic assessment food image analysis dataset regularization |
| ISSN号 | 2096-0433 |
| DOI | 10.1007/s41095-020-0193-5 |
| 通讯作者 | Dong, Weiming(weiming.dong@ia.ac.cn) |
| 英文摘要 | Distinguishing aesthetically pleasing food photos from others is an important visual analysis task for social media and ranking systems related to food. Nevertheless, aesthetic assessment of food images remains a challenging and relatively unexplored task, largely due to the lack of related food image datasets and practical knowledge. Thus, we present the Gourmet Photography Dataset (GPD), the first large-scale dataset for aesthetic assessment of food photos. It contains 24,000 images with corresponding binary aesthetic labels, covering a large variety of foods and scenes. We also provide a non-stationary regularization method to combat over-fitting and enhance the ability of tuned models to generalize. Quantitative results from extensive experiments, including a generalization ability test, verify that neural networks trained on the GPD achieve comparable performance to human experts on the task of aesthetic assessment. We reveal several valuable findings to support further research and applications related to visual aesthetic analysis of food images. To encourage further research, we have made the GPD publicly available at https://github.com/Openning07/GPA. |
| WOS关键词 | NETWORKS |
| 资助项目 | National Natural Science Foundation of China[61832016] ; National Natural Science Foundation of China[61672520] ; CASIA-Tencent Youtu joint research project |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000648692800009 |
| 出版者 | SPRINGERNATURE |
| 资助机构 | National Natural Science Foundation of China ; CASIA-Tencent Youtu joint research project |
| 源URL | [http://ir.ia.ac.cn/handle/173211/44633]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 通讯作者 | Dong, Weiming |
| 作者单位 | 1.Tencent Inc, AI Lab, Shenzhen 518000, Peoples R China 2.Kuaishou Technol, Beijing 100085, Peoples R China 3.Tencent, Youtu Lab, Shanghai 200233, Peoples R China 4.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China 5.Snap Inc, Santa Monica, CA 90405 USA |
| 推荐引用方式 GB/T 7714 | Sheng, Kekai,Dong, Weiming,Huang, Haibin,et al. Learning to assess visual aesthetics of food images[J]. COMPUTATIONAL VISUAL MEDIA,2021,7(1):139-152. |
| APA | Sheng, Kekai.,Dong, Weiming.,Huang, Haibin.,Chai, Menglei.,Zhang, Yong.,...&Hu, Bao-Gang.(2021).Learning to assess visual aesthetics of food images.COMPUTATIONAL VISUAL MEDIA,7(1),139-152. |
| MLA | Sheng, Kekai,et al."Learning to assess visual aesthetics of food images".COMPUTATIONAL VISUAL MEDIA 7.1(2021):139-152. |
入库方式： OAI收割
来源：自动化研究所
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