An enhanced motion estimation approach using a genetic trail bounded approximation for H.264/AVC codecs

Genetic algorithm-based motion estimation schemes play a significant role in improving the results of H.264/AVC standardization efforts when addressing conversational and non-conversational video applications. In this paper, we present a robust motion estimation scheme that uses a noble genetic trai...

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Bibliographic Details
Published in:Multimedia tools and applications 2013-03, Vol.63 (1), p.63-76
Main Authors: Haque, Mohammad A., Kim, Jong-Myon
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Approximation
Chromosomes
Coding standards
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Estimating techniques
Fitness
Frames
Genetic algorithms
Genetics
Mathematical analysis
Multimedia
Multimedia computer applications
Multimedia Information Systems
Mutation
Special Purpose and Application-Based Systems
Studies
Vectors (mathematics)
Video compression
Visualization
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Summary:Genetic algorithm-based motion estimation schemes play a significant role in improving the results of H.264/AVC standardization efforts when addressing conversational and non-conversational video applications. In this paper, we present a robust motion estimation scheme that uses a noble genetic trail bounded approximation (GTBA) approach to speed up the encoding process of H.264/AVC video compression and to reduce the number of bits required to code frame. The proposed algorithm is utilized to enhance the fitness function strength by integrating trail information of motion vector and sum of absolute difference (SAD) information into a fitness function. Experimental results reveal that the proposed GTBA resolves conflict obstacles with respect to both the number of bits required to code frames and the execution time for estimation.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-012-1023-2