• DocumentCode
    2630574
  • Title

    Knowledge-based system for coding head and shoulder images

  • Author

    Alattar, Adnan M. ; Rajala, Sarah A.

  • Author_Institution
    Intel Princeton Oper., Princeton, NJ, USA
  • fYear
    1990
  • fDate
    1-3 May 1990
  • Firstpage
    1026
  • Abstract
    Several implementation issues of the primitive-based image codec are discussed, namely, the structure of the database, coding the primitives when no match is found in the database, buffer control, and accumulation of error. A hierarchical database, constructed during the coder´s operation, is used to avoid difficulties of constructing an offline database. Singular-value decomposition of primitives is used in a way similar to that of transform coding to construct a compact database and to code the primitives when no match from the database is found. Accumulation of error is prevented by transmitting with each frame the pixels from three lines that are evenly spaced in the image raster and moved up each frame time. The achievable compression ratio is also analyzed
  • Keywords
    codecs; computerised picture processing; data compression; database management systems; encoding; knowledge based systems; coding head and shoulder images; compression ratio; hierarchical database; image coding; knowledge based systems; primitive-based image codec; Buffer storage; Codecs; Computer errors; Decoding; Head; Image coding; Image databases; Knowledge based systems; Page description languages; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1990., IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/ISCAS.1990.112283
  • Filename
    112283