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Video analysis using re-constructing of motion vectors on MPEG compressed domain  

Kim, Nak-U (Dept.of Media Engineering, Gsaim Art Technology college, Chungang University)
Kim, Tae-Yong (Dept.of Media Engineering, Gsaim Art Technology college, Chungang University)
Gang, Eung-Gwan (Dept.of Multi Media Engineering, Information Technology Computer Engineering College, Jeonju University)
Choe, Jong-Su (Dept.of Media Engineering, Gsaim Art Technology college, Chungang University)
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Abstract
A macroblock(MB) in MPEG coded domain can have zero, one, or two motion vectors depending on its frame type and prediction direction (forward-, backward-, or hi-directionally). In this paper, we propose a method that converts these motion vectors on MPEG coded domain as a uniform set, independent of the frame type and the direction of prediction, and directly utilizes these re-analyzed motion vectors for understanding video contents. Also, using this frame-type-independent motion vector, we propose novel methods for detecting and tracking moving objects with frame-based detection accuracy on the compressed domain. These algorithms are performed directly from the MPEG bitstreams after VLC decoding with little time consumption. Experimental results show validity and outstanding performance of our methods.
Keywords
video parsing; motion analysis; object extracting and tracking;
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