Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72502
Title: Automatic parsing of news video
Authors: Zhang, HongJiang 
Gong, Yihong
Smoliar, Stephen W. 
Tan, Shuang Yeo 
Issue Date: 1994
Source: Zhang, HongJiang,Gong, Yihong,Smoliar, Stephen W.,Tan, Shuang Yeo (1994). Automatic parsing of news video. Proceedings of the International Conference on Multimedia Computing and Systems : 45-54. ScholarBank@NUS Repository.
Abstract: Video content parsing is possible when one has a priori model of a video's structure based on domain knowledge. This paper presents work on using domain knowledge to parse content of news video programs. Approaches to locating and identifying frame structure models based on temporal and spatial structure of news video data, along with algorithms to apply these models in parsing news video, have been developed and are presented in detail in this paper. Experimental results are also discussed in detail to evaluate the approaches and algorithms. Finally, proposals for future work are summarized.
Source Title: Proceedings of the International Conference on Multimedia Computing and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/72502
ISBN: 0818655305
Appears in Collections:Staff Publications

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