A global-motion analysis method via rough-set-based video pre-classification

Authors:
Zhe Yuan;Yu Wu;Guoyin Wang;Jianbo Li
Affiliations:
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China;Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China;Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China;Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China
Venue:
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Year:
2005

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Abstract

Motion information represents semantic conception in video to a certain extent. In this paper, according to coding characteristics of MPEG, a global-motion analysis method via rough-set-based video pre-classification is proposed. First, abnormal data in MPEG stream are removed. Then, condition attributes are extracted and samples are classified with rough set to obtain global-motion frames. Finally, their motion models are built up. So the method can overcome disturbance of local motion and promote veracity of estimations for six-parameter global motion model. Experiments show that it can veraciously distinguish global and non-global motions.