Institutional Repository
| discovering temporal patterns from images using extended plsa | |
| Liao Xiaofeng; Wang Yongji; Ding Liping | |
| 2010 | |
| Conference Name | 2010 International Conference on Multimedia Technology, ICMT 2010 |
| Source | 2010 International Conference on Multimedia Technology, ICMT 2010 |
| Pages | - |
| Conference Date | 40845 |
| Conference Place | Ningbo, China |
| Indexed Type | EI |
| Publish Place | United States |
| ISBN | 9781420000000 |
| Department | (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 |
| English Abstract | 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. |
| Sponsorship | IEEE Nanjing Section GRSS Chapter; Southwest Petroleum University of China; College of Computer and Information of Hohai University |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8732 |
| Collection | 互联网软件技术实验室 |
| Recommended Citation GB/T 7714 | Liao Xiaofeng,Wang Yongji,Ding Liping. discovering temporal patterns from images using extended plsa[C]. United States,2010:-. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 05630978.pdf（902KB） | 开放获取 | -- | Application Full Text | |||
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