MPSoC Architecture for Macro Blocks Line Partitioning of H.264/AVC Encoder

Author:

Belhadj Nidhameddine1,Marrakchi Zied2,Ben Ayed Mohamed Ali1,Masmoudi Nouri1,Mehrez Habib3

Affiliation:

1. National Engineering School of Sfax, University of Sfax, Sfax, Tunisia

2. Flexras Technologies, Paris, France

3. LIP6, Université Pierre et Marie Curie, Paris, France

Abstract

Using multiprocessor technology is an interesting solution for reducing the processing time of complex video encoders such as H.264/Advanced Video Coding (AVC). This paper details different levels of parallelism presented in related works for H.264/AVC encoder. An efficient Macro Blocks Line level parallelism for the intra prediction encoding chain of H.264/AVC for High Definition (HD) video is proposed. It is implemented on MPSoC architecture using an open and free platform for virtual prototyping named SoCLib. Comparing to related works, the proposed partitioning meets strongly the size of required memory constraint and provides an interesting speed-up. The proposed architecture is based on three processors and ensures a reduced circuit area. Experimental results reveal a run time saving of about 59.8% in terms of processing speed, compared to a classical execution based on a single CPU, without affecting the quality of the reconstructed video. Using multiprocessor technology is an interesting solution for reducing the processing time of complex video encoders such as H.264/Advanced Video Coding (AVC). This paper details different levels of parallelism presented in related works for H.264/AVC encoder. An efficient Macro Blocks Line level parallelism for the intra prediction encoding chain of H.264/AVC for High Definition (HD) video is proposed. It is implemented on MPSoC architecture using an open and free platform for virtual prototyping named SoCLib. Comparing to related works, the proposed partitioning meets strongly the size of required memory constraint and provides an interesting speed-up. The proposed architecture is based on three processors and ensures a reduced circuit area. Experimental results reveal a run time saving of about 59.8% in terms of processing speed, compared to a classical execution based on a single CPU, without affecting the quality of the reconstructed video.

Publisher

IGI Global

Subject

General Computer Science

Reference33 articles.

1. Multiprocessor platform-based design for multimedia

2. H.264 Color Components Video Decoding Parallelization on Multi-core Processors

3. Optimizations for real-time implementation of H.264/AVC video encoder on DSP processor.;N.Bahri;International Review on Computers and Software,2013

4. Chen, Y. H., Chuang, T. D., Chen, Y. H., Tsai, C. H., & Chen, L. G. (2008, May). Frame Parallel Design Strategy fo High Definition B-Frame H.264/AVC Encoder. Presented at IEEE International Symposium on Circuits and Systems, ISCAS 2008. Seattle, WA.

5. Impact of varying processor number for H264 in FPGA platform

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3