CASIA OpenIR  > 模式识别国家重点实验室  > 视频内容安全
Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning
Wu, Ou1; Zuo, Haiqiang2; Hu, Weiming1; Li, Bing1; Ou Wu
2016-06-01
发表期刊IEEE TRANSACTIONS ON MULTIMEDIA
卷号18期号:6页码:1062-1076
文章类型Article
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.
关键词Aesthetic Features Fusion Local Features Multitask Learning Visual Aesthetics Web Pages
WOS标题词Science & Technology ; Technology
DOI10.1109/TMM.2016.2538722
关键词[WOS]QUALITY ASSESSMENT ; BACKGROUND COLOR ; IMAGES ; PAGES ; TEXT ; PERSPECTIVE ; EXPERIENCE ; FEATURES ; SEARCH ; USERS
收录类别SCI
语种英语
项目资助者National Science Foundation China(61379098)
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号WOS:000376107100010
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12225
专题模式识别国家重点实验室_视频内容安全
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
ieee tmm.pdf(757KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wu, Ou]的文章
[Zuo, Haiqiang]的文章
[Hu, Weiming]的文章
百度学术
百度学术中相似的文章
[Wu, Ou]的文章
[Zuo, Haiqiang]的文章
[Hu, Weiming]的文章
必应学术
必应学术中相似的文章
[Wu, Ou]的文章
[Zuo, Haiqiang]的文章
[Hu, Weiming]的文章
相关权益政策
暂无数据
收藏/分享
文件名: ieee tmm.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。