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Proceedings Paper

Integration of audio and video semantic features for news video scene segmentation
Author(s): Jun Xu; Huayong Liu; Hongbin Hu; Dongru Zhou
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Paper Abstract

With the wide application of digital video, video database system has been an important direction in multimedia domain. In the field of video database research, segmentation of a video scene has been an important problem hard to solve. This paper begins with analyzing the structural features of news video and then introduces a new method for scene segmentation based extracting the semantic features. In this method extraction and analysis for shot change, anchorperson shot, topic caption and silence interval in audio and video stream are carried out to realize news video scene segmentation. It can be seen from the result of experimentation that the correctness to segmentation rate is up to 86.9 percent with the application of the method mentioned above. Hence, the method is a satisfied solution for the news video scene segmentation.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441562
Show Author Affiliations
Jun Xu, Wuhan Univ. (China)
Huayong Liu, Wuhan Univ. (China)
Hongbin Hu, Wuhan Univ. (China)
Dongru Zhou, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques
Yair Censor; Mingyue Ding, Editor(s)

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