• DocumentCode
    1563444
  • Title

    Expert pattern recognition assessment of image quality

  • Author

    Tomich, Daniel J. ; Quincy, Edmund A. ; Parsavand, Dara

  • Author_Institution
    Nat. Telecommun. & Inf. Adm., US Dept. of Commerce, Boulder, CO, USA
  • fYear
    1989
  • Firstpage
    1799
  • Abstract
    The authors propose a method for objectively determining video transmission quality that is user-oriented and independent of coding/decoding and transmission technologies. The technique uses an expert pattern recognition system that operates on features of a received image with unknown transmission impairments. An example of a candidate feature is provided. The system provides quality classification on a minimum probability-of-error basis relative to subjective classification. The expert system uses statistical pattern recognition to perform low-level processing and an initial classification. Additional knowledge about subjective classification, visual perception, user requirements, and application bias can be applied by the expert system to refine the classification
  • Keywords
    computerised pattern recognition; computerised picture processing; expert systems; application bias; expert pattern recognition; image quality; low-level processing; minimum probability-of-error basis; statistical pattern recognition; subjective classification; user requirements; video transmission quality; visual perception; Codecs; Decoding; Expert systems; Image quality; Pattern recognition; Quality assessment; Standards development; TV; Teleconferencing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1989.266800
  • Filename
    266800