中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Tracking Web Video Topics: Discovery, Visualization, and Monitoring

文献类型:期刊论文

作者Cao, Juan1; Ngo, Chong-Wah2; Zhang, Yong-Dong1; Li, Jin-Tao1
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
出版日期2011-12-01
卷号21期号:12页码:1835-1846
关键词Topic trajectory mining video recommendation visualization
ISSN号1051-8215
DOI10.1109/TCSVT.2011.2148470
英文摘要Despite the massive growth of web-shared videos in Internet, efficient organization and monitoring of videos remains a practical challenge. While nowadays broadcasting channels are keen to monitor online events, identifying topics of interest from huge volume of user uploaded videos and giving recommendation to emerging topics are by no means easy. Specifically, such process involves discovering of new topic, visualization of the topic content, and incremental monitoring of topic evolution. This paper studies the problem from three aspects. First, given a large set of videos collected over months, an efficient algorithm based on salient trajectory extraction on a topic evolution link graph is proposed for topic discovery. Second, topic trajectory is visualized as a temporal graph in 2-D space, with one dimension as time and another as degree of hotness, for depicting the birth, growth, and decay of a topic. Finally, giving the previously discovered topics, an incremental monitoring algorithm is proposed to track newly uploaded videos, while discovering new topics and giving recommendation to potentially hot topics. We demonstrate the application on three months' videos crawled from YouTube during December 2008 to February 2009. Both objective and user studies are conducted to verify the performance.
资助项目National Basic Research Program of China (973 Program)[2007CB311100] ; Research Grants Council of the Hong Kong Special Administrative Region, China[CityU 119610] ; National Nature Science Foundation of China[60902090] ; National High Technology and Research Development Program of China (863 Program)[2009AA01A403] ; Beijing New Star Project on Science and Technology[2007B071]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000297857600006
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/12743]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Cao, Juan
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.City Univ Hong Kong, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Cao, Juan,Ngo, Chong-Wah,Zhang, Yong-Dong,et al. Tracking Web Video Topics: Discovery, Visualization, and Monitoring[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2011,21(12):1835-1846.
APA Cao, Juan,Ngo, Chong-Wah,Zhang, Yong-Dong,&Li, Jin-Tao.(2011).Tracking Web Video Topics: Discovery, Visualization, and Monitoring.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,21(12),1835-1846.
MLA Cao, Juan,et al."Tracking Web Video Topics: Discovery, Visualization, and Monitoring".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 21.12(2011):1835-1846.

入库方式: OAI收割

来源:计算技术研究所

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