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International Journal of Parallel Programming
Published in: International Journal of Parallel Programming 6/2014

01-12-2014

Performance Optimization of Video Coding Process on Multi-Core Platform Using Gop Level Parallelism

Authors: S. Sankaraiah, Lam Hai Shuan, C. Eswaran, Junaidi Abdullah

Published in: International Journal of Parallel Programming | Issue 6/2014

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Abstract

High definition video applications often require heavy computation, high bandwidth and high memory requirements which make their real-time implementation difficult. Multi-core architecture with parallelism provides new solutions to implementing complex multimedia applications in real-time. It is well-known that the speed of the H.264 encoder can be increased on a multi-core architecture using the parallelism concept. Most of the parallelization methods proposed earlier for these purposes suffer from the drawbacks of limited scalability and data dependency. In this paper, we present a result obtained using data-level parallelism at the Group-Of-Pictures (GOP) level for the video encoder. The proposed technique involves each GOP being encoded independently and implemented on JM 18.0 using advanced data structures and OpenMP programming techniques. The performance of the parallelized video encoder is evaluated for various resolutions based on the parameters such as encoding speed, bit rate, memory requirements and PSNR. The results show that with GOP level parallelism, very high speed up values can be achieved without much degradation in the video quality.
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Metadata
Title
Performance Optimization of Video Coding Process on Multi-Core Platform Using Gop Level Parallelism
Authors
S. Sankaraiah
Lam Hai Shuan
C. Eswaran
Junaidi Abdullah
Publication date
01-12-2014
Publisher
Springer US
Published in
International Journal of Parallel Programming / Issue 6/2014
Print ISSN: 0885-7458
Electronic ISSN: 1573-7640
DOI
https://doi.org/10.1007/s10766-013-0267-4

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