• DocumentCode
    314604
  • Title

    Identifying features for multi-modality coding

  • Author

    Shah, D. ; Marshall, S.

  • Author_Institution
    Strathclyde Univ., Glasgow, UK
  • Volume
    1
  • fYear
    1997
  • fDate
    14-17 Jul 1997
  • Firstpage
    73
  • Abstract
    Identifying feature areas in head and shoulder image is an important stage in solving the problems present in current telecommunication systems. For example, in the case of videophone systems, to gain lip synchronisation, it is believed that integrating the speech and image data would help reduce the loss of synchronisation between the voice and the lip movements. To do so, the mouth area should be known/detected and the corresponding speech information analysed. We discuss how the area of the mouth is detected and is used to help create a basic system for gaining lip synchronisation
  • Keywords
    speech coding; feature areas identification; feature extraction; head and shoulder image; image data; lip movements; lip synchronisation; multimodality coding; speech information analysis; speech-image data integration; telecommunication systems; videophone systems;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and Its Applications, 1997., Sixth International Conference on
  • Conference_Location
    Dublin
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-692-X
  • Type

    conf

  • DOI
    10.1049/cp:19970857
  • Filename
    614995