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

Content Provider	IEEE Xplore Digital Library
Author	Chung-Ming Huang Chung-Wei Lin Chia-Ching Yang Chung-Heng Chang Hao-Hsiang Ku
Copyright Year	2009
Description	Author affiliation: Laboratory of Multimedia Mobile Networking, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C. (Chung-Ming Huang; Chung-Wei Lin; Chia-Ching Yang; Chung-Heng Chang; Hao-Hsiang Ku)
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-SVC-MDC. 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.
Starting Page	919
Ending Page	926
File Size	1561370
Page Count	8
File Format	PDF
ISBN	9781424438075
DOI	10.1109/AICCSA.2009.5069442
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-10
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding Parallel programming Streaming media Video on demand Video compression Personal digital assistants Static VAr compensators Application software Availability Computer interfaces P2P (Peer-to-Peer) overlay network H.264/AVC SVC (the scalable Extension of H.264/AVC) MDC (Multiple Description Coding)
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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