• DocumentCode
    2224545
  • Title

    Visualization approach based on multimedia clustering

  • Author

    Zhao, Wei ; Zhang, Junsheng ; Sun, Yunchuan

  • Author_Institution
    Network&Educ. Technol. Center, Renmin Univ. of China, Beijing
  • fYear
    2008
  • fDate
    July 31 2008-Aug. 1 2008
  • Firstpage
    190
  • Lastpage
    195
  • Abstract
    Multimedia is one kind of the most important resources on the current Web. To search and browse the multi-media content efficiently, it is necessary to improve the multimedia retrieval and classification approaches. For a multimedia snippet, the annotated tags and introduction texts around the multimedia can reflect the content and characteristics of the multimedia. This paper proposes an efficient approach to cluster and visualize the multimedia by constructing semantic field with a set of multimedia tags. A semantic field is a circle region with several gravitation sources (tags)to locate a multimedia by calculating the positions in the field. We have developed an experiment on audio clustering for about 1000 multimedia resources including images, audios, and videos using the semantic field approach, and the result shows the approach is efficient.
  • Keywords
    data visualisation; information retrieval; multimedia computing; pattern clustering; semantic networks; text analysis; audio clustering; classification approaches; gravitation sources; multimedia clustering; multimedia contents; multimedia retrieval; multimedia visualization; semantic fields; Clustering algorithms; Content based retrieval; Data visualization; Educational technology; Face recognition; Machine learning algorithms; Sun; Support vector machine classification; Support vector machines; Videos; clustering; multimedia; similarity; tags; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubi-Media Computing, 2008 First IEEE International Conference on
  • Conference_Location
    Lanzhou
  • Print_ISBN
    978-1-4244-1865-7
  • Electronic_ISBN
    978-1-4244-1866-4
  • Type

    conf

  • DOI
    10.1109/UMEDIA.2008.4570888
  • Filename
    4570888