discovering temporal patterns from images using extended plsa

	discovering temporal patterns from images using extended plsa
	Liao Xiaofeng ; Wang Yongji ; Ding Liping
	2010
会议名称	2010 International Conference on Multimedia Technology, ICMT 2010
会议日期	40845
会议地点	Ningbo, China
页码	-
英文摘要	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 track not only topics among images but also how topics change over time. Experiments show the effectiveness of this method. ©2010 IEEE.
收录类别	EI
会议主办者	IEEE Nanjing Section GRSS Chapter; Southwest Petroleum University of China; College of Computer and Information of Hohai University
会议录	2010 International Conference on Multimedia Technology, ICMT 2010
会议录出版地	United States
ISBN号	9781420000000
内容类型	会议论文
源URL	[http://124.16.136.157/handle/311060/8732]
专题	软件研究所_互联网软件技术实验室 _会议论文
推荐引用方式 GB/T 7714	Liao Xiaofeng,Wang Yongji,Ding Liping. discovering temporal patterns from images using extended plsa[C]. 见:2010 International Conference on Multimedia Technology, ICMT 2010. Ningbo, China. 40845.