• DocumentCode
    3523110
  • Title

    Adaptive quantization scheme for very low bit rate video coding

  • Author

    Zhike, Jia ; Huijuan, Cui ; Kun, Tang

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    2
  • fYear
    1999
  • fDate
    18-22 Oct. 1999
  • Firstpage
    940
  • Abstract
    This paper presents an efficient two-layer adaptive quantization scheme, which uses Q-N (Quantization step-Number of output bits) mapping tables and fuzzy perceptual classifiers. With this adaptive quantization scheme, the consistent coding quality and good visual effect can be kept under constant bit rate.
  • Keywords
    adaptive codes; image classification; quantisation (signal); video coding; Q-N mapping tables; VLBR coding; fuzzy perceptual classifiers; two-layer adaptive quantization scheme; very low bit rate coding; video coding; Bit rate; Electronic mail; Humans; Image quality; Iterative decoding; Quantization; Statistics; Video coding; Video compression; Visual effects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
  • Conference_Location
    Beijing, China
  • Print_ISBN
    7-5635-0402-8
  • Type

    conf

  • DOI
    10.1109/APCC.1999.820418
  • Filename
    820418