• DocumentCode
    3268151
  • Title

    CCL-SVC: Optimizing user experience of broadcasting video on computation capability limited handheld devices

  • Author

    Wang, Jingyuan ; Sun, Lifeng ; Li, Bin ; Zhang, Meng ; Yang, Shiqiang

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    8-10 Oct. 2008
  • Firstpage
    429
  • Lastpage
    432
  • Abstract
    In this paper, we propose a novel scheme using computing complexity layered scalable video coding (CCLSVC) to optimize the user experience of broadcasting video in the computing capability limited handheld terminals. To address the heterogeneity of computing capability among different handheld devices, we employ hierarchal B reference structure of SVC to divide the frames into multiple computing complexity layers (CC Layers) in server side. The handheld clients simply choose to decode the frames in their corresponding layers in terms of their computation capability to maximize the video PSNR. We have proved that the optimal CC Layers division problem is a precedence constrained scheduling problem, which is an NP-complete problem. And we further propose our fast greedy method to approximately get optimized broadcasting video playback PSNR. The simulation shows that our method is superior to temporal SVC and random frame discarding method.
  • Keywords
    computational complexity; digital video broadcasting; optimisation; random processes; video coding; CCL-SVC; NP-complete problem; computing complexity layered scalable video coding; handheld devices; handheld terminals; precedence constrained scheduling problem; video PSNR; video broadbasting; Broadcasting; Decoding; Handheld computers; Multimedia communication; NP-complete problem; Optimization methods; PSNR; Processor scheduling; Static VAr compensators; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2008 IEEE 10th Workshop on
  • Conference_Location
    Cairns, Qld
  • Print_ISBN
    978-1-4244-2294-4
  • Electronic_ISBN
    978-1-4244-2295-1
  • Type

    conf

  • DOI
    10.1109/MMSP.2008.4665117
  • Filename
    4665117