• DocumentCode
    3312350
  • Title

    A scalable video codec design for streaming over distributed peer-to-peer network

  • Author

    Lee, Ivan ; Guan, Ling

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia
  • Volume
    1
  • fYear
    2002
  • fDate
    17-21 Nov. 2002
  • Firstpage
    539
  • Abstract
    With the growing popularity of the Internet, information is easier to distribute and obtain than ever. Among the efforts of developing practical applications over the Internet, video streaming has drawn a lot of attention both from academia and industry. However, the best-effort nature of the Internet poses many challenges to meet the bandwidth, delay, loss, and QoS requirements for transmitting video. In this paper, we address these problems by proposing new approaches to maximize the perceptual quality for streaming video. Our contributions in this paper are: (1) our proposal of video streaming over the Peer-to-Peer network to complement the existing client-server model (2) our investigations on an innovative scalable video coding technique based on the inter-subband redundancy removal using the neural network techniques.
  • Keywords
    Internet; data compression; delays; neural nets; quality of service; video codecs; video coding; Internet; QoS requirements; client-server model; delay; distributed peer-to-peer network; industry; inter-subband redundancy removal; loss requirements; neural network techniques; perceptual quality; scalable video codec design; scalable video coding; streaming video; video streaming; Bandwidth; Delay; Internet; Neural networks; Peer to peer computing; Propagation losses; Proposals; Streaming media; Video codecs; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE
  • Print_ISBN
    0-7803-7632-3
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2002.1188137
  • Filename
    1188137