Compressed video indexing based on object motion

Nevine H. AbouGhazaleh; Yousry Saber El Gamal

doi:10.1117/12.386702

30 May 2000 Compressed video indexing based on object motion

Nevine H. AbouGhazaleh, Yousry Saber El Gamal

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386702
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

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.

Citation Download Citation

Nevine H. AbouGhazaleh and Yousry Saber El Gamal "Compressed video indexing based on object motion", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386702

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