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Proceedings Paper

Compressed video indexing based on object motion
Author(s): Nevine H. AbouGhazaleh; Yousry Saber El Gamal
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Paper 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.

Paper Details

Date Published: 30 May 2000
PDF: 8 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386702
Show Author Affiliations
Nevine H. AbouGhazaleh, Arab Academy for Science and Technology (Egypt)
Yousry Saber El Gamal, Arab Academy for Science and Technology (Egypt)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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