Salient object extraction for user-targeted video content association

doi:10.1631/jzus.C1001004

CORC > 北京大学 > 信息科学技术学院

	Salient object extraction for user-targeted video content association
	Li, Jia ; Yu, Han-nan ; Tian, Yong-hong ; Huang, Tie-jun ; Gao, Wen
刊名	journal of zhejiang university science c computers electronics
	2010
关键词	Salient object extraction User-targeted video content association Complementary saliency maps AUTOMATIC EXTRACTION ATTENTION
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.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000285586900004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Information Systems; Computer Science, Software Engineering; Engineering, Electrical & Electronic; SCI(E); 中国科学引文数据库(CSCD); 0; ARTICLE; 11,SI; 850-859; 11
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/241819]
专题	信息科学技术学院
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.
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.
MLA	Li, Jia,et al."Salient object extraction for user-targeted video content association".journal of zhejiang university science c computers electronics (2010).