An SVC-MDC video coding scheme using the multi-core parallel programming paradigm for P2P video streaming

Chung Ming Huang, Chung Wei Lin, Chia Ching Yang, Chung Heng Chang, Hao Hsiang Ku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, we propose a COmbined SVC-MDC (Scalable Video Coding & Multiple Description Coding) video coding scheme using the multi-core parallel programming paradigm for P2P video streaming, which is denoted Co-SVCMDC. To date, P2P video streaming applications are widely popular and emphasized, e.g., PPstream and PPlive, because of higher transmission speed and data availability. However, in the heterogeneous P2P network environment, users are able to utilize PDA, notebook or desktop computer through distinct network interfaces to get on-demand videos ubiquitously. To provide distinct spatial-resolution/ fidelity videos and flexible video transmission (playback) over P2P networks, a brand new coding architecture needs to be devised. In the proposed Co-SVC-MDC coding scheme, distinct MDC descriptions contain distinct portions of raw video frames, and each raw frame can be compressed as base layer and SVC enhancement layers. In our experiments, a real implementation of Co-SVC-MDC is exhibited and corresponding performances, e.g., PSNR and decoding speeds, are compared with original SVC in distinct congestion-level P2P networks.

Original languageEnglish
Title of host publication2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009
Pages919-926
Number of pages8
DOIs
Publication statusPublished - 2009
Event7th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA-2009 - Rabat, Morocco
Duration: 2009 May 102009 May 13

Publication series

Name2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009

Other

Other7th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA-2009
Country/TerritoryMorocco
CityRabat
Period09-05-1009-05-13

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering

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