Compressed video indexing based on object motion

Compressed video processing for the sake of content based retrieval saves time of the expensive decoding. In this paper , we process the compressed MPEG video data for the motion analysis of its contents. Two motion components are differentiated from each other. Firstly, the object's motion; the change in object’s co-ordinate throughout consecutive frames. Secondly, the camera motion resulting from the camera effects such as zooming in and out, and panning right and left,...etc. A trajectory is constructed for each object and represented by a spatio-temprol representation . Video objects are indexed by the actual motion of the objects, independent from the moving camera motion.