Anchorperson extraction for picture in picture news video

Authors:
Dong Xu;Xuelong Li;Zhengkai Liu;Yuan Yuan
Affiliations:
Information Processing Center, University of Science and Technology of China, Anhui 230027, PR China;School of Computing and Intelligent Systems, University of Ulster, Northland Road, Londonderry BT48 7JL, UK;Information Processing Center, University of Science and Technology of China, Anhui 230027, PR China;Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

Picture in Picture news video is one typical kind of video sequences, where some regions undergo the moving camera and the others undergo the static camera. Actually it is a very difficult for computer to distinguish whether the motion is caused by the moving objects themselves or the moving camera, thus extracting anchorperson from this kind of video becomes a challenging vision task. To our knowledge, it is the first time to address this kind of application. Change detection is implemented to achieve fast, automatic and robust anchorperson extraction with the aid of a simple anchorperson model, which is initialized once in the first frame. The experiment results demonstrate our performance.