News video story segmentation method using fusion of audio-visual features

Jun Wen; Ling-da Wu; Pu Zeng; Xi-dao Luan; Yu-xiang Xie

doi:10.1117/12.749272

14 November 2007 News video story segmentation method using fusion of audio-visual features

Jun Wen, Ling-da Wu, Pu Zeng, Xi-dao Luan, Yu-xiang Xie

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67904G (2007) https://doi.org/10.1117/12.749272
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Jun Wen, Ling-da Wu, Pu Zeng, Xi-dao Luan, and Yu-xiang Xie "News video story segmentation method using fusion of audio-visual features", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904G (14 November 2007); https://doi.org/10.1117/12.749272

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