• DocumentCode
    1501122
  • Title

    Bit-Rate Allocation for Multiple Video Streams Using a Pricing-Based Mechanism

  • Author

    Tiwari, Mayank ; Groves, Theodore ; Cosman, Pamela

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA
  • Volume
    20
  • Issue
    11
  • fYear
    2011
  • Firstpage
    3219
  • Lastpage
    3230
  • Abstract
    We consider the problem of bit-rate allocation for multiple video users sharing a common transmission channel. Previously, overall quality of multiple users was improved by exploiting relative video complexity. Users with high-complexity video benefit at the expense of video quality reduction for other users with simpler videos. The quality of all users can be improved by collectively allocating the bit rate in a centralized fashion which requires sharing video information with a central controller. In this paper, we present an informationally decentralized bit-rate allocation for multiple users where a user only needs to inform his demand to an allocator. Each user separately calculates his bit-rate demand based on his video complexity and bit-rate price, where the bit-rate price is announced by the allocator. The allocator adjusts the bit-rate price for the next period based on the bit rate demanded by the users and the total available bit-rate supply. Simulation results show that all users improve their quality by the pricing-based decentralized bit-rate allocation method compared with their allocation when acting individually. The results of our proposed method are comparable to the centralized bit-rate allocation.
  • Keywords
    data compression; pricing; rate distortion theory; video coding; video streaming; centralized bit-rate allocation; multiple video streams; pricing-based mechanism; relative video complexity; transmission channel; video information sharing; video quality reduction; Complexity theory; Delay; Optimization; Pricing; Resource management; Streaming media; Synchronization; Decentralized allocation; H.264/AVC; rate control; rate–distortion optimization; video compression;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2011.2146262
  • Filename
    5754585