Please use this identifier to cite or link to this item:
https://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 | Citation: | 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 |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.