Genetic motion search algorithm for video compression

A new approach to block-based motion estimation for video compression, called the genetic motion search (GMS) algorithm, is introduced. It makes use of a natural processing concept called genetic algorithm (GA). In contrast to existing fast algorithms, which rely on the assumption that the matching...

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Veröffentlicht in:IEEE transactions on circuits and systems for video technology 1993-12, Vol.3 (6), p.440-445
Hauptverfasser: Hung-Kei Chow, K., Liou, M.L.
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description A new approach to block-based motion estimation for video compression, called the genetic motion search (GMS) algorithm, is introduced. It makes use of a natural processing concept called genetic algorithm (GA). In contrast to existing fast algorithms, which rely on the assumption that the matching error decreases monotonically as the search point moves closer to the global optimum, the GMS algorithm is not fundamentally limited by this restriction. Experimental results demonstrate that GMS is more robust than other algorithms in locating the global optimum and is computationally simpler than the full search algorithm. GMS is also suitable for VLSI implementation because of its regularity and high architectural parallelism.< >
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subjects Applied sciences
Computational complexity
Cutoff frequency
Exact sciences and technology
Frequency response
Genetic algorithms
Image converters
Image processing
Information, signal and communications theory
Kernel
Low pass filters
Motion estimation
Signal processing
Telecommunications and information theory
Transform coding
Video compression
title Genetic motion search algorithm for video compression
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