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题名:
discovering temporal patterns from images using extended plsa
作者: Liao Xiaofeng ; Wang Yongji ; Ding Liping
会议文集: 2010 International Conference on Multimedia Technology, ICMT 2010
会议名称: 2010 International Conference on Multimedia Technology, ICMT 2010
会议日期: 40845
出版日期: 2010
会议地点: Ningbo, China
出版地: United States
收录类别: EI
ISBN: 9781420000000
部门归属: (1) National Engineering Research Center for Fundamental Software, Institute of Software, Chinese Academy of Science, Beijing 100190, China; (2) Laboratory for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (3) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (4) Graduate University, Chinese Academy of Sciences, Beijing 100049, China; (5) Information Engineering School, Nanchang University, Nanchang, Jiangxi, 330031, China
主办者: IEEE Nanjing Section GRSS Chapter; Southwest Petroleum University of China; College of Computer and Information of Hohai University
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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8732
Appears in Collections:互联网软件技术实验室 _会议论文

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Recommended Citation:
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.
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