• DocumentCode
    3348542
  • Title

    A fast discrete transform architecture for Frequency Domain Motion Estimation

  • Author

    Ismail, Yasser ; McNeely, Jason ; Shaaban, Mohsen ; Al Najjar, Mayssaa ; Bayoumi, Magdy A.

  • Author_Institution
    Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, Lafayette, LA, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1249
  • Lastpage
    1252
  • Abstract
    Frequency Domain Motion Estimation (FDME) is a recent technique that promises to efficiently reduce the computational complexity of ME process. Related Transformed-Discrete Cosine Transform (RT-DCT) is one of the main modules that build the FDME encoder. The RT-DCT module is responsible for generating four transforms that are required for the ME process in the frequency domain. The main problem of generating such transforms is the low speed of the FDME encoder that prevents its use in real time applications. In this paper an efficient fast RT-DCT architecture is proposed to accelerate the encoding process in the frequency domain. The proposed architecture achieves approximately 58%, 39%, and 50% reductions in gate count, power consumption, and area compared to the conventional state of the art pipelined RT-DCT generators. Implementation and Simulation results project that the proposed RT-DCT architecture, when integrated in a whole FDME system, can perform ME for 60 fps of 4CIF video at 118 MHz.
  • Keywords
    computational complexity; discrete cosine transforms; motion estimation; computational complexity; discrete transform architecture; frequency domain motion estimation; related transformed-discrete cosine transform; Computer architecture; Discrete cosine transforms; Generators; Lattices; Logic gates; Shift registers; CORDIC; DCT; FDME;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652335
  • Filename
    5652335