extended probabilistic latent semantic analysis model for topics in time-stamped images
文献类型：期刊论文
| 作者 | Liao Xiaofeng ; Wang Yongji ; Ding Liping ; Gu Jian |
| 刊名 | INTELLIGENT AUTOMATION AND SOFT COMPUTING
 |
| 出版日期 | 2011 |
| 卷号 | 17期号:7页码:983-995 |
| 关键词 | Extended Probabilistic Latent Semantic Analysis Temporal Image Mining |
| ISSN号 | 1079-8587 |
| 中文摘要 | 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 extract topics among images and tract how topics change over time. Experiments show the effectiveness of this method. |
| 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 extract topics among images and tract how topics change over time. Experiments show the effectiveness of this method. |
| 学科主题 | Automation & Control Systems ; Computer Science |
| 收录类别 | SCI |
| 资助信息 | 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 |
| 公开日期 | 2013-10-08 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16090]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 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. |
入库方式： OAI收割
来源：软件研究所
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