Institutional Repository
| extended probabilistic latent semantic analysis model for topics in time-stamped images | |
| Liao Xiaofeng; Wang Yongji; Ding Liping; Gu Jian | |
| 2011 | |
| Source | INTELLIGENT AUTOMATION AND SOFT COMPUTING
 |
| ISSN | 1079-8587 |
| Volume | 17Issue:7Pages:983-995 |
| 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 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. |
| Indexed Type | SCI |
| Keyword | Extended Probabilistic Latent Semantic Analysis Temporal Image Mining |
| Department | 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. |
| Subject | Automation & Control Systems ; Computer Science |
| Sponsorship | 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) |
| Language | 英语 |
| WOS ID | WOS:000296754800014 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16090 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment