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.
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Yuan, Z., Wu, Y., Wang, G., Li, J. (2005). A Global-Motion Analysis Method via Rough-Set-Based Video Pre-classification. In: Ślęzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548706_34
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DOI: https://doi.org/10.1007/11548706_34
Publisher Name: Springer, Berlin, Heidelberg
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