• DocumentCode
    2876197
  • Title

    A Coarse Grained Reconfigurable Architecture for Variable Block Size Motion Estimation

  • Author

    Verma, Ruchika ; Akoglu, Ali

  • Author_Institution
    Arizona Univ., Tucson
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    81
  • Lastpage
    88
  • Abstract
    This paper proposes a novel application-specific coarsegrained reconfigurable architecture with a flexible network on chip (NoC) mechanism. This architecture supports variable block size motion estimation (VBSME) with much less resources than other architectures. The intelligent NoC router supports full search motion estimation algorithm as well as other fast search algorithms like diamond and hexagonal search. Our model is a hierarchical hybrid processing element based 2D architecture which supports reuse of search data between the processing elements with the help of NoC routers. Results show that the area occupied by the proposed architecture is about one-seventh of the area occupied by the state of the art ASIC implementation with comparable operational frequency to sustain 30fps.
  • Keywords
    application specific integrated circuits; motion estimation; network-on-chip; reconfigurable architectures; 2D architecture; ASIC; application-specific coarse grained reconfigurable architecture; diamond search; hexagonal search; hierarchical hybrid processing element; intelligent NoC router; network-on-chip mechanism; variable block size motion estimation; Application specific integrated circuits; Computer architecture; Concurrent computing; Delay; Motion estimation; Network-on-a-chip; Reconfigurable architectures; Streaming media; Video compression; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Field-Programmable Technology, 2007. ICFPT 2007. International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4244-1472-7
  • Electronic_ISBN
    978-1-4244-1472-7
  • Type

    conf

  • DOI
    10.1109/FPT.2007.4439235
  • Filename
    4439235