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An Adaptive Feature Based Low Power Motion Estimation Algorithm

Gupte, Ajit and Bharadwaj, Amrutur (2008) An Adaptive Feature Based Low Power Motion Estimation Algorithm. In: IEEE International Conference on Multimedia & Expo, Hannover, Germany, June 23 2008-April 26 2008 , Hannover.

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Motion Estimation is one of the most power hungry operations in video coding. While optimal search (eg. full search)methods give best quality, non optimal methods are often used in order to reduce cost and power. Various algorithms have been used in practice that trade off quality vs. complexity. Global elimination is an algorithm based on pixel averaging to reduce complexity of motion search while keeping performance close to that of full search. We propose an adaptive version of the global elimination algorithm that extracts individual macro-block features using Hadamard transform to optimize the search. Performance achieved is close to the full search method and global elimination. Operational complexity and hence power is reduced by 30% to 45% compared to global elimination method.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 2008 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.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 20 Sep 2011 05:35
Last Modified: 20 Sep 2011 05:35
URI: http://eprints.iisc.ac.in/id/eprint/40602

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