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Content-Based Video Retrieval Using Motion Descriptors Extracted from Compressed Domain

Babu, Venkatesh R and Ramakrishnan, KR (2002) Content-Based Video Retrieval Using Motion Descriptors Extracted from Compressed Domain. In: IEEE International Symposium on Circuits and Systems, 2002. ISCAS 2002, 26-29 May, Arizona,USA, Vol.4, 141 -144.


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Video content description has become an important task with the standardization effort of MPEG-7, which aims at easy and efficient access to visual information. In this paper we propose a system to extract the features from compressed MPEG video based on the motion vector information. The global features like motion activity and camera motion parameters are extracted from the decoded motion vectors and the object features such as speed, area and trajectory are obtained after the object segmentation stage. The number of objects in a given video shot is determined by the proposed K-means clustering algorithm and the object segmentation is done by applying EM algorithm.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Compressed Domain;Content-based Video Retrieval;Motion Descriptor;MPEG-7
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 02 Feb 2006
Last Modified: 19 Sep 2010 04:23
URI: http://eprints.iisc.ac.in/id/eprint/5264

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