• DocumentCode
    501234
  • Title

    Real-time Multimedia Quality Assessment Based on Media Delay Index and Support Vector Machine

  • Author

    Rao, Wenbi ; Li, Yingshu

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    111
  • Lastpage
    114
  • Abstract
    The more areas the multimedia used in, the more effective measures about quality of service are required. This paper presents a new method for multimedia quality assessment. This method uses media delivery index algorithm to analyze the situation of current network and get a series of index as media attributes. Using an intelligent algorithm - support vector machine as a classifier which maps the network parameters with end-userspsila feeling. This is a no-reference method to evaluate the media quality. There is no need to access the original signal in the operation phase, and the obtained results correlate well with human perception. And compared with the neural network quality assessment, the new method is more stable and expansive. So this method can be widely used in real-time system to calculate the magnitude of quality of service automatically.
  • Keywords
    multimedia communication; quality of service; real-time systems; support vector machines; end-user feeling; intelligent algorithm; media attributes; media delay index; network parameter; no-reference method; quality of service; real-time multimedia quality assessment; support vector machine; Algorithm design and analysis; Area measurement; Delay; Humans; Intelligent networks; Machine intelligence; Quality assessment; Quality of service; Support vector machine classification; Support vector machines; media delay index (MDI); object quality evaluation; quality-affecting parameters; support vector machine (SVM); vedio clips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.28
  • Filename
    5231366