Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3241539.3267776acmconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
poster

GPU based High Definition Parallel Video Codec Optimization in Mobile Device

Published: 15 October 2018 Publication History

Abstract

With the advances in wireless communication and the growing popularity of mobile devices, it has become rather normal to watch videos using mobile devices. However, there are severely challenges to using video codec on mobile devices, because: 1) insufficient computing resources, there is poor performance using mobile device ; 2) the limited battery capacity on mobile device; 3) CPU utilization is too high when using traditional video codec. In this paper, we proposed a GPU based High Definition Parallel Video Codec on mobile devices, which is an efficient video codec with the cooperation of CPU and GPU. The video codec system is fully compliant with the video codec h264 standard. Compared with the scheme using existing X264, the presented experimental results evaluated the GPU based video codec achieves appreciable improvements in FPS(frames per second), the energy consumption and utilization of CPU are reduced properly at the same time.

References

[1]
Khronos OpenCL Working Group. 2018. The OpenCL Specification. https://www.khronos.org/registry/OpenCL/specs/2.2/html/OpenCL_API.html Retrieved August 17, 2018 from
[2]
H.264/AVC. 2017. ITU-T recommendation h.264 (01/12): Advanced video coding for generic audiovisual services. http://www.itu.int/rec/T-REC-H.264--201704-I Retrieved August 17, 2018 from
[3]
Falei Luo, Shanshe Wang, Siwei Ma, Nan Zhang, Yun Zhou, and Wen Gao. 2017. Fast Intra Coding Unit Size Decision for HEVC With GPU Based Keypoint Detection. In IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, Baltimore, MD, USA, 1--4.
[4]
Cisco White Paper. 2016. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016--2021 White Paper. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11--520862.html Retrieved August 17, 2018 from
[5]
S. Robinson. 2009. Cellphone energy gap: Desperately seeking solutions. Technical Report. Strategy Analytics Tech, Boston, MA, USA.
[6]
R. Sanchez, F. D. Igual, J. L. Martinez, R. Mayo, and E. S. Q. Orti. 2014. Parallel performance and energy efficiency of modern video encoders on multithreaded architectures. In European Signal Processing Conference (EUSIPCO). IEEE, Lisbon, Portugal, 191--195.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
MobiCom '18: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
October 2018
884 pages
ISBN:9781450359030
DOI:10.1145/3241539
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2018

Check for updates

Author Tags

  1. GPU
  2. mobile device
  3. motion estimation
  4. parallel computing

Qualifiers

  • Poster

Funding Sources

  • National Key Research and Development Program of China

Conference

MobiCom '18
Sponsor:

Acceptance Rates

MobiCom '18 Paper Acceptance Rate 42 of 187 submissions, 22%;
Overall Acceptance Rate 420 of 2,893 submissions, 15%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 161
    Total Downloads
  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)0
Reflects downloads up to 02 Oct 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media