Approach of sports programs classification with motion information in MPEG domain
Yuwen He, Shiqiang Yang, Yuzhuo Zhong · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Classifying different sorts of programs is very important and necessary in order to realize fast retrieval in large multimedia retrieval systems. This paper focuses on classification of sports program with motion information in MPEG domain. It is fast and efficient to analysis motion information in compressed data without the preprocessing of total decoding and many programs are compressed in MPEG- 1/MPEG-2 format. The paper proposes an approach to classify the sports programs by dominant motion information. There is motion information in forward prediction coded frames (P- frame) in MPEG compression data. The motion information can be extracted form MPEG domain. Principal component analysis method is utilized in order to get the dominant motion information from the macroblock's motion vectors, which can simplify the motion information. Principal components of motion information are used to recognize which kind of sport it belongs to with hidden Markov model after those patterns are trained with different kind of sports programs. Some testing sets are used to do some experiment in order to evaluate the performance of the method proposed in paper. Classifying sports programs with motion is available from the experimental results.