Robust TV news story identification via visual characteristics of anchorperson scenes
Pages 621 - 630
Abstract
In this paper, a new scheme for TV news segmentation via exploring the efficient visual features is proposed especially for TV news which contains lots of changeful background of anchorperson shots. The proposed scheme can be divided into two parts: probable anchorperson shot detection and real anchorperson detection. Our proposed method can efficiently detect anchorperson shots even though anchorperson shots contain changeful background and anchorperson position variation. Meanwhile, non-anchorperson shots can be robustly excluded from report shots such as interview scenes. Experimental results are given to demonstrate the feasibility and efficiency of the proposed techniques.
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- Ministry of Education: Ministry of Education
- NCCU: National Chung Cheng University
- The University of Auckland, New Zealand
- National Tsing Hua University: National Tsing Hua University
- National Science Council: National Science Council (Taiwan)
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 10 December 2006
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