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Proceedings Paper

Robust anchorperson detection for TV news segmentation
Author(s): Ko-Yen Lu; Min-Kuan Chang; Chia-Hung Yeh; Maverick Shih
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Paper Abstract

In this paper, we proposed a scheme for TV news segmentation via exploring the efficient visual features. The proposed scheme can be divided into three parts, such as shot change detection based on skin color; probable anchorperson shot detection and anchorperson detection. According to experimental results, our proposed method can efficiently decompose TV news into anchorperson shots and report shots. Compared to the traditional face detection methods, the proposed method can robustly exclude the non-anchorperson shots in report shots such as the interview scenes. Experimental results are given to demonstrate the feasibility and efficiency of the proposed technique.

Paper Details

Date Published: 2 October 2006
PDF: 10 pages
Proc. SPIE 6391, Multimedia Systems and Applications IX, 63910T (2 October 2006); doi: 10.1117/12.690929
Show Author Affiliations
Ko-Yen Lu, National Chung-Hsing Univ. (Taiwan)
Min-Kuan Chang, National Chung-Hsing Univ. (Taiwan)
Chia-Hung Yeh, National Dong-Hwa Univ. (Taiwan)
Maverick Shih, MAVs Lab. Inc. (Taiwan)


Published in SPIE Proceedings Vol. 6391:
Multimedia Systems and Applications IX
Susanto Rahardja; JongWon Kim; Qi Tian; Chang Wen Chen, Editor(s)

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