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    Indexing Camera Motion Integrating Knowledge of the Quality of the Encoded Video

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    Abstract—Fast indexing of video contents in the compressed domain has become an important task as growing quantities of multimedia (MM) digital content are available in this form. In this paper we present a method for fast indexing of camera motion of MPEG1 and 2 compressed video. We use P-frame motion vectors and extract some knowledge on the quality of the compensated motion from the compressed stream. It is then used for decision making on the motion refinement. Then camera motion is indexed in terms of physical motions. Results obtained on the TREC Video test data set are interesting. Index Terms — video indexing, camera motion, compressed streams. I
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