extended probabilistic latent semantic analysis model for topics in time-stamped images

ISCAS OpenIR

	extended probabilistic latent semantic analysis model for topics in time-stamped images
	Liao Xiaofeng; Wang Yongji; Ding Liping; Gu Jian
	2011
发表期刊	INTELLIGENT AUTOMATION AND SOFT COMPUTING
ISSN	1079-8587
卷号	17 期号:7 页码:983-995
摘要	This paper considers the problem of modelling the topics in a sequence of images with known time stamp. Detecting and tracking of temporal data is an important task in multiple applications, such as finding hot research point from scientific literature, news article series analysis, email surveillance, search query log mining, etc. In contrast to existing works mainly focusing on text document collections, this paper considers mining temporal topic trends from image data set. An extension of the Probabilistic Latent Semantic Analysis(PLSA) model, which includes an additional variable associated with the time stamp to better model the temporal topics, is presented to extract topics among images and tract how topics change over time. Experiments show the effectiveness of this method.; This paper considers the problem of modelling the topics in a sequence of images with known time stamp. Detecting and tracking of temporal data is an important task in multiple applications, such as finding hot research point from scientific literature, news article series analysis, email surveillance, search query log mining, etc. In contrast to existing works mainly focusing on text document collections, this paper considers mining temporal topic trends from image data set. An extension of the Probabilistic Latent Semantic Analysis(PLSA) model, which includes an additional variable associated with the time stamp to better model the temporal topics, is presented to extract topics among images and tract how topics change over time. Experiments show the effectiveness of this method.
收录类别	SCI
关键词	Extended Probabilistic Latent Semantic Analysis Temporal Image Mining
部门归属	Liao Xiaofeng; Wang Yongji; Ding Liping Chinese Acad Sci Natl Engn Res Ctr Fundamental Software Inst Software Beijing Peoples R China. Liao Xiaofeng Nanchang Univ Informat Engn Sch Nanchang Peoples R China. Gu Jian Minist Publ Secur Res Inst 3 Key Lab Informat Network Secur Shanghai Peoples R China.
学科领域	Automation & Control Systems ; Computer Science
资助者	State Key Laboratory of Independent ResearchCSZZ0808; Chinese Academy of Sciences Institute of SoftwareYOCX285056; Accessing-Verification-Protection oriented secure operating system prototypeKGCX2-YW-125; Key Lab of Information Network Security of Ministry of Public Security(The Third Research Institute of Ministry of Public Security)
语种	英语
WOS记录号	WOS:000296754800014
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16090
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Liao Xiaofeng,Wang Yongji,Ding Liping,et al. extended probabilistic latent semantic analysis model for topics in time-stamped images[J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING,2011,17(7):983-995.
APA	Liao Xiaofeng,Wang Yongji,Ding Liping,&Gu Jian.(2011).extended probabilistic latent semantic analysis model for topics in time-stamped images.INTELLIGENT AUTOMATION AND SOFT COMPUTING,17(7),983-995.
MLA	Liao Xiaofeng,et al."extended probabilistic latent semantic analysis model for topics in time-stamped images".INTELLIGENT AUTOMATION AND SOFT COMPUTING 17.7(2011):983-995.