Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning
文献类型：期刊论文
| 作者 | Wu, Ou1 ; Zuo, Haiqiang2; Hu, Weiming1; Li, Bing1; Ou Wu
|
| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
 |
| 出版日期 | 2016-06-01 |
| 卷号 | 18期号:6页码:1062-1076 |
| 关键词 | Aesthetic Features Fusion Local Features Multitask Learning Visual Aesthetics Web Pages |
| DOI | 10.1109/TMM.2016.2538722 |
| 文献子类 | Article |
| 英文摘要 | The overall visual attributes (e.g., aesthetics) of Web pages significantly influence user experience. A beautiful and well laid out Web page greatly facilitates user access and enhances the browsing experience. In this paper, a new method is proposed to learn an assessment model for the (visual) aesthetics of Web pages. First, multimodal features (structural, local visual, global visual, and functional) of a Web page that are known to significantly affect the aesthetics of a Web page are extracted to construct a feature vector. Second, the interuser disagreement of aesthetics is analyzed and novel aesthetic representations are obtained from the multiuser ratings of a page. A structural learning algorithm is proposed for the new aesthetic representations. Third, as a Web page's functional purpose also affects the perceived aesthetics, we divide Web pages into different types using functional features, and a soft multitask fusion learning strategy is introduced to train assessment models for pages with functional purposes. Experimental results show the effectiveness of our method: 1) the combination of structural, local, and global visual features outperforms existing state-of-the-art Web aesthetic features; 2) the proposed structural learning algorithm achieves good results for the new aesthetic representations; and 3) the proposed soft multitask fusion learning strategy improves the performances of aesthetics assessment models. |
| WOS关键词 | QUALITY ASSESSMENT ; BACKGROUND COLOR ; IMAGES ; PAGES ; TEXT ; PERSPECTIVE ; EXPERIENCE ; FEATURES ; SEARCH ; USERS |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000376107100010 |
| 资助机构 | National Science Foundation China(61379098) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12225]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_视频内容安全团队 |
| 通讯作者 | Ou Wu |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.China Univ Petr, Sch Engn, Qingdao 266580, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Ou,Zuo, Haiqiang,Hu, Weiming,et al. Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2016,18(6):1062-1076. |
| APA | Wu, Ou,Zuo, Haiqiang,Hu, Weiming,Li, Bing,&Ou Wu.(2016).Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning.IEEE TRANSACTIONS ON MULTIMEDIA,18(6),1062-1076. |
| MLA | Wu, Ou,et al."Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning".IEEE TRANSACTIONS ON MULTIMEDIA 18.6(2016):1062-1076. |
入库方式： OAI收割
来源：自动化研究所
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