Salient object extraction for user-targeted video content association

doi:10.1631/jzus.C1001004

	Salient object extraction for user-targeted video content association
	Li, Jia 2,3; Yu, Han-nan 1; Tian, Yong-hong 1; Huang, Tie-jun 1; Gao, Wen 1,2
	2010-11-01
发表期刊	JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS
ISSN	1869-1951
卷号	11 期号:11 页码:850-859
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.
关键词	Salient object extraction User-targeted video content association Complementary saliency maps
DOI	10.1631/jzus.C1001004
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS记录号	WOS:000285586900004
出版者	ZHEJIANG UNIV
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/11946
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.Peking Univ, Sch EE & CS, Natl Engn Lab Video Technol, Beijing 100871, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing 100049, 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.