Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation
文献类型：期刊论文
| 作者 | Zhang, Luming1; Gao, Yue2; Zimmermann, Roger1; Tian, Qi3; Li, Xuelong4
|
| 刊名 | ieee transactions on image processing
 |
| 出版日期 | 2014-03-01 |
| 卷号 | 23期号:3 |
| 关键词 | Multi-channel structural cues aesthetic evaluation probabilistic model |
| ISSN号 | 1070-986x |
| 英文摘要 | photo aesthetic quality evaluation is a fundamental yet under addressed task in computer vision and image processing fields. conventional approaches are frustrated by the following two drawbacks. first, both the local and global spatial arrangements of image regions play an important role in photo aesthetics. however, existing rules, e. g., visual balance, heuristically define which spatial distribution among the salient regions of a photo is aesthetically pleasing. second, it is difficult to adjust visual cues from multiple channels automatically in photo aesthetics assessment. to solve these problems, we propose a new photo aesthetics evaluation framework, focusing on learning the image descriptors that characterize local and global structural aesthetics from multiple visual channels. in particular, to describe the spatial structure of the image local regions, we construct graphlets small-sized connected graphs by connecting spatially adjacent atomic regions. since spatially adjacent graphlets distribute closely in their feature space, we project them onto a manifold and subsequently propose an embedding algorithm. the embedding algorithm encodes the photo global spatial layout into graphlets. simultaneously, the importance of graphlets from multiple visual channels are dynamically adjusted. finally, these post-embedding graphlets are integrated for photo aesthetics evaluation using a probabilistic model. experimental results show that: 1) the visualized graphlets explicitly capture the aesthetically arranged atomic regions; 2) the proposed approach generalizes and improves four prominent aesthetic rules; and 3) our approach significantly outperforms state-of-the-art algorithms in photo aesthetics prediction. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence ; engineering, electrical & electronic |
| 研究领域[WOS] | computer science ; engineering |
| 关键词[WOS] | image classification ; manifold ; search |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000335390100005 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22377]  |
| 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.Natl Univ Singapore, Sch Comp, Singapore 119613, Singapore 2.Tsinghua Univ, Beijing 100086, Peoples R China 3.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Luming,Gao, Yue,Zimmermann, Roger,et al. Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation[J]. ieee transactions on image processing,2014,23(3). |
| APA | Zhang, Luming,Gao, Yue,Zimmermann, Roger,Tian, Qi,&Li, Xuelong.(2014).Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation.ieee transactions on image processing,23(3). |
| MLA | Zhang, Luming,et al."Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation".ieee transactions on image processing 23.3(2014). |
入库方式： OAI收割
来源：西安光学精密机械研究所
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