Synthesized computational aesthetic evaluation of photos
文献类型：期刊论文
| 作者 | Wang, Weining1; Cai, Dong1; Wang, Li1; Huang, Qinghua1; Xu, Xiangmin1; Li, Xuelong2
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| 刊名 | neurocomputing
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| 出版日期 | 2016-01-08 |
| 卷号 | 172页码:244-252 |
| 关键词 | Aesthetic evaluation Feature extraction Classification Mobile application Photo |
| ISSN号 | 09252312 |
| 产权排序 | 2 |
| 英文摘要 | assessing aesthetic appeal of images is a highly subjective task which has attracted a lot of interests recently. it is an interdisciplinary subject related to art, psychology, and computer vision. in this paper, we systematically study prior researches of feature extraction in this area, and category them into four groups, low level, rule based, information theory, and visual attention. in each group, the effectiveness and limitations of existing features are examined. based on the analysis, we propose a comprehensive feature set, which include 16 novel features and 70 well proved features. with this feature set, we build the system under machine learning scheme consisting of an svm based classifier to estimate if an image is high aesthetic or low aesthetic. the experiments are conducted on public datasets show that our comprehensive feature set outperforms conventional models that concentrate mainly on certain types of features. the combination of our features produces a promising classification accuracy of 82.4% and a good performance comparable to aesthetic rating of human. finally, we implemented the proposed evaluation system on mobile devices. it can provide real-time feedback to help users capture appealing photos. (c) 2015 elsevier b.v. all rights reserved. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | attention ; features ; images |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000364884700025 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/27546]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Weining,Cai, Dong,Wang, Li,et al. Synthesized computational aesthetic evaluation of photos[J]. neurocomputing,2016,172:244-252. |
| APA | Wang, Weining,Cai, Dong,Wang, Li,Huang, Qinghua,Xu, Xiangmin,&Li, Xuelong.(2016).Synthesized computational aesthetic evaluation of photos.neurocomputing,172,244-252. |
| MLA | Wang, Weining,et al."Synthesized computational aesthetic evaluation of photos".neurocomputing 172(2016):244-252. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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