• DocumentCode
    1943467
  • Title

    CNN shape segmentation advantages in MPEG-4 simple profile encoding

  • Author

    Koskinen, Lauri ; Paasio, Ari ; Halonen, Kari

  • Author_Institution
    Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    2
  • fYear
    2003
  • fDate
    1-4 July 2003
  • Firstpage
    117
  • Abstract
    The MPEG-4 core profile offers content-based functionalities. It is shown here that content-based encoders also have advantages in simple profile coding. An intermediate phase of a cellular nonlinear network (CNN) shape segmentation algorithm indicates the area containing motion within a video frame. This information can be used to reduce the required computational power requirements of motion estimation. Depending on the amount of motion in an sequence significant savings in coded bits can be achieved without loss in subjective video quality. The number of computed SADs also shows considerable decrease. The method is simulated with full search and MVFAST but is motion estimation algorithm independent and has increased advantages in MPEG-4 AVC.
  • Keywords
    image segmentation; motion estimation; video coding; CNN shape segmentation; MPEG-4 simple profile encoding; cellular nonlinear network; motion estimation algorithm; video quality; Cellular networks; Cellular neural networks; Computational complexity; Computational modeling; Electronic circuits; Encoding; Laboratories; MPEG 4 Standard; Shape; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
  • Print_ISBN
    0-7803-7946-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2003.1224829
  • Filename
    1224829