• DocumentCode
    301258
  • Title

    Scalable coding schemes based on DCT and MC prediction

  • Author

    Nakamura, Motonori ; Sawada, Katsutoshi

  • Author_Institution
    Dept. of Inf. Network Eng., Aichi Inst. of Technol., Toyota, Japan
  • Volume
    2
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    575
  • Abstract
    The paper describes scalable coding schemes which use DCT and motion compensated interframe prediction. In the scalable coding, a lower resolution picture can be obtained by decoding only a partial bitstream, while a full resolution picture is obtained by decoding the total bitstream. Two types of scalable coding scheme are studied. In the first type (schemes A), an input picture is first decomposed by DCT, then MC prediction coding is carried out in the DCT picture domain. In the second type (scheme B), MC prediction is first carried out in the full resolution picture and then DCT decomposition is performed for the prediction difference picture. The coding performance of these two schemes was estimated by computer simulation experiments. A performance comparison between scalable and non-scalable coding schemes was also carried out. The experimental results have demonstrated that scheme B is superior to schemes A
  • Keywords
    discrete cosine transforms; image resolution; motion compensation; prediction theory; transform coding; video coding; DCT decomposition; DCT picture domain; DCT prediction; MC prediction; MC prediction coding; bitstream decoding; coding performance; computer simulation experiments; input picture decomposition; motion compensated interframe prediction; nonscalable coding; picture resolution; prediction difference picture; scalable coding schemes; video coding; Computer simulation; Decoding; Degradation; Digital TV; Digital video broadcasting; Discrete cosine transforms; HDTV; Motion compensation; Scalability; TV broadcasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537544
  • Filename
    537544