• DocumentCode
    767375
  • Title

    Interframe difference quadtree edge-based side-match finite-state classified vector quantization for image sequence coding

  • Author

    Chang, Ruey-Feng ; Chen, Wei-Ming

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • Volume
    6
  • Issue
    1
  • fYear
    1996
  • fDate
    2/1/1996 12:00:00 AM
  • Firstpage
    32
  • Lastpage
    41
  • Abstract
    Very low bit rate image sequence coding is very important for video transmission and storage applications. The fundamental goal of image sequence coding is to remove spatial redundancy and only update the moving parts in an image sequence so that the total information bits required for storage or transmission can be greatly reduced. In our proposed approach, each frame within an image sequence will be separated into moving and stationary blocks. Only the moving blocks need to be transmitted to the decoder, so that the total number of bits and computing time are greatly reduced. The moving blocks will be encoded by edge-based side-match finite-state classified vector quantization (EBSMCVQ). Moreover, a quadtree can be also used to represent the moving and edge information for each frame. In order to reduce the number of bits for the quadtree, we propose a new difference quadtree technique that only transmits the different parts between the previous frame´s quadtree and the current frame´s quadtree. In the proposed interframe difference quadtree EBSMCVQ image sequence coding scheme, the average bit rate of each frame is reduced to 0.0393 b/pixel and the PSNR is still up to 35.40 dB for image sequence Claire
  • Keywords
    image classification; image coding; image matching; image sequences; motion estimation; quadtrees; vector quantisation; EBSMCVQ; PSNR; average bit rate; edge information; edge-based side-match VQ; finite-state classified vector quantization; image motion; image sequence coding; interframe difference quadtree; spatial redundancy; very low bit rate coding; video storage; video transmission; Bit rate; Clustering algorithms; Decoding; Image coding; Image sequences; Image storage; Iterative algorithms; Partitioning algorithms; Pixel; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.486418
  • Filename
    486418