Salient object extraction for user-targeted video content association
文献类型:期刊论文
作者 | Li, Jia1,3; Yu, Han-nan2; Tian, Yong-hong2; Huang, Tie-jun2; Gao, Wen2,3 |
刊名 | JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS
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出版日期 | 2010-11-01 |
卷号 | 11期号:11页码:850-859 |
关键词 | Salient object extraction User-targeted video content association Complementary saliency maps |
ISSN号 | 1869-1951 |
DOI | 10.1631/jzus.C1001004 |
英文摘要 | The increasing amount of videos on the Internet and digital libraries highlights the necessity and importance of interactive video services such as automatically associating additional materials (e. g., advertising logos and relevant selling information) with the video content so as to enrich the viewing experience. Toward this end, this paper presents a novel approach for user-targeted video content association (VCA). In this approach, the salient objects are extracted automatically from the video stream using complementary saliency maps. According to these salient objects, the VCA system can push the related logo images to the users. Since the salient objects often correspond to important video content, the associated images can be considered as content-related. Our VCA system also allows users to associate images to the preferred video content through simple interactions by the mouse and an infrared pen. Moreover, by learning the preference of each user through collecting feedbacks on the pulled or pushed images, the VCA system can provide user-targeted services. Experimental results show that our approach can effectively and efficiently extract the salient objects. Moreover, subjective evaluations show that our system can provide content-related and user-targeted VCA services in a less intrusive way. |
资助项目 | CADAL Project ; National Natural Science Foundation of China[60973055] ; National Natural Science Foundation of China[90820003] |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000285586900004 |
出版者 | ZHEJIANG UNIV |
源URL | [http://119.78.100.204/handle/2XEOYT63/11945] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Tian, Yong-hong |
作者单位 | 1.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China 2.Peking Univ, Sch EE & CS, Natl Engn Lab Video Technol, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Jia,Yu, Han-nan,Tian, Yong-hong,et al. Salient object extraction for user-targeted video content association[J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS,2010,11(11):850-859. |
APA | Li, Jia,Yu, Han-nan,Tian, Yong-hong,Huang, Tie-jun,&Gao, Wen.(2010).Salient object extraction for user-targeted video content association.JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS,11(11),850-859. |
MLA | Li, Jia,et al."Salient object extraction for user-targeted video content association".JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS 11.11(2010):850-859. |
入库方式: OAI收割
来源:计算技术研究所
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