• DocumentCode
    56812
  • Title

    Reusing Speech Techniques for Video Semantic Indexing [Applications Corner]

  • Author

    Shinoda, Kazuma ; Inoue, Naoko

  • Author_Institution
    Dept. of Comput. Sci., Tokyo Inst. of Technol., Tokyo, Japan
  • Volume
    30
  • Issue
    2
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    118
  • Lastpage
    122
  • Abstract
    Many techniques developed in speech research have been successfully employed in other fields, such as automatic video semantic indexing. In this application, a user submits a textual input query for an desired object or a scene to a search system, which returns video shots that include the object or scene. Recently, a new method using Gaussian-mixture model (GMM) supervectors and support vector machines (SVMs) was proven to be very effective. In this method, speech technology such as speaker verification and adaptation techniques play very important roles.
  • Keywords
    Gaussian processes; indexing; speaker recognition; support vector machines; GMM supervector; Gaussian-mixture model supervector; SVM; automatic video semantic indexing; speaker adaptation technique; speaker verification technique; speech technique; support vector machine; textual input query; video shot return; Feature extraction; Gaussian processes; Indexing; Sematics; Speech processing; Support vector machines; Video signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2012.2230520
  • Filename
    6461614