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Proceedings Paper

News video story segmentation method using fusion of audio-visual features
Author(s): Jun Wen; Ling-da Wu; Pu Zeng; Xi-dao Luan; Yu-xiang Xie
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Paper Abstract

News story segmentation is an important aspect for news video analysis. This paper presents a method for news video story segmentation. Different form prior works, which base on visual features transform, the proposed technique uses audio features as baseline and fuses visual features with it to refine the results. At first, it selects silence clips as audio features candidate points, and selects shot boundaries and anchor shots as two kinds of visual features candidate points. Then this paper selects audio feature candidates as cues and develops different fusion method, which effectively using diverse type visual candidates to refine audio candidates, to get story boundaries. Experiment results show that this method has high efficiency and adaptability to different kinds of news video.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904G (14 November 2007); doi: 10.1117/12.749272
Show Author Affiliations
Jun Wen, National Univ. of Defense Technology (China)
Ling-da Wu, National Univ. of Defense Technology (China)
Pu Zeng, National Univ. of Defense Technology (China)
Xi-dao Luan, National Univ. of Defense Technology (China)
Yu-xiang Xie, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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