Robust anchorperson detection for TV news segmentation

Ko-Yen Lu; Min-Kuan Chang; Chia-Hung Yeh; Maverick Shih

doi:10.1117/12.690929

2 October 2006 Robust anchorperson detection for TV news segmentation

Ko-Yen Lu, Min-Kuan Chang, Chia-Hung Yeh, Maverick Shih

Proceedings Volume 6391, Multimedia Systems and Applications IX; 63910T (2006) https://doi.org/10.1117/12.690929
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

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.

Citation Download Citation

Ko-Yen Lu, Min-Kuan Chang, Chia-Hung Yeh, and Maverick Shih "Robust anchorperson detection for TV news segmentation", Proc. SPIE 6391, Multimedia Systems and Applications IX, 63910T (2 October 2006); https://doi.org/10.1117/12.690929

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