Probabilistic Multi-Task Learning for Visual Saliency Estimation in   Video

doi:10.1007/s11263-010-0354-6

CORC > 北京大学 > 信息科学技术学院

	Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video
	Li, Jia ; Tian, Yonghong ; Huang, Tiejun ; Gao, Wen
刊名	国际计算机视觉杂志
	2010
关键词	Visual saliency Probabilistic framework Visual search tasks Multi-task learning ATTENTION MODEL
DOI	10.1007/s11263-010-0354-6
英文摘要	In this paper, we present a probabilistic multi-task learning approach for visual saliency estimation in video. In our approach, the problem of visual saliency estimation is modeled by simultaneously considering the stimulus-driven and task-related factors in a probabilistic framework. In this framework, a stimulus-driven component simulates the low-level processes in human vision system using multi-scale wavelet decomposition and unbiased feature competition; while a task-related component simulates the high-level processes to bias the competition of the input features. Different from existing approaches, we propose a multi-task learning algorithm to learn the task-related "stimulus-saliency" mapping functions for each scene. The algorithm also learns various fusion strategies, which are used to integrate the stimulus-driven and task-related components to obtain the visual saliency. Extensive experiments were carried out on two public eye-fixation datasets and one regional saliency dataset. Experimental results show that our approach outperforms eight state-of-the-art approaches remarkably.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000281087900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; SCI(E); EI; 58; ARTICLE; 2; 150-165; 90
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/242089]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Jia,Tian, Yonghong,Huang, Tiejun,et al. Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video[J]. 国际计算机视觉杂志,2010.
APA	Li, Jia,Tian, Yonghong,Huang, Tiejun,&Gao, Wen.(2010).Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video.国际计算机视觉杂志.
MLA	Li, Jia,et al."Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video".国际计算机视觉杂志 (2010).