• DocumentCode
    1001049
  • Title

    Video compression for lossy packet networks with mode switching and a dual-frame buffer

  • Author

    Leontaris, Athanasios ; Cosman, Pamela C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA, USA
  • Volume
    13
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    885
  • Lastpage
    897
  • Abstract
    Video codecs that use motion compensation benefit greatly from the development of algorithms for near-optimal intra/inter mode switching within a rate-distortion framework. A separate development has involved the use of multiple-frame prediction, in which more than one past reference frame is available for motion estimation. In this paper, we show that using a dual-frame buffer (one short-term frame and one long-term frame available for prediction) together with intra/inter mode switching improves the compression performance of the coder. We improve the mode-switching algorithm with the use of half-pel motion vectors. In addition, we investigate the effect of feedback in making more informed and effective mode-switching decisions. Feedback information is used to limit drift errors due to packet losses by synchronizing the long-term frame buffers of both the encoder and the decoder.
  • Keywords
    buffer storage; data compression; feedback; motion compensation; motion estimation; packet switching; rate distortion theory; video codecs; video coding; visual communication; dual-frame buffer; half-pel motion vectors; lossy packet networks; mode-switching algorithm; motion compensation; motion estimation; multiple-frame prediction; near-optimal intra mode switching; rate-distortion framework; video codecs; video compression; Feedback; Image coding; Motion compensation; Motion estimation; Packet switching; Protocols; Rate-distortion; Streaming media; Video codecs; Video compression; Algorithms; Artifacts; Artificial Intelligence; Data Compression; Image Enhancement; Internet; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2004.828429
  • Filename
    1303642