• DocumentCode
    3661740
  • Title

    Application of Sparse Database in Multimedia Management and Retrieval

  • Author

    Li Chao;Wu Lingda

  • Author_Institution
    Acad. of Equip., Beijing, China
  • fYear
    2014
  • Firstpage
    361
  • Lastpage
    366
  • Abstract
    Multimedia retrieval demands better efficience and accuracy to satisfy increasing extensive application. Since multimedia is enormous with various elements and complex features, it will waste storage to manage it with traditional RDBMS. Combined with researches on sparse database, this research explores how to use sparse database to manage multimedia and perform characteristic-based retrieval on it. It mainly works on methods of decreasing the storage cost while ensuring retrieval efficiency.
  • Keywords
    "Multimedia communication","Multimedia databases","Feature extraction","Semantics","Data mining","Visualization"
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality and Visualization (ICVRV), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICVRV.2014.16
  • Filename
    7281093