Compressed video indexing based on object motion
Nevine H. AbouGhazaleh, Yousry Gamal · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
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-ordinates 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-temporal representation. Video objects are indexed by the actual motion of the objects, independent from the moving camera motion.