• DocumentCode
    2496050
  • Title

    Video description by automatic content extraction

  • Author

    Tascini, G. ; Montesanto, A. ; Palombo, R.

  • Author_Institution
    Comput Sci. Inst., Ancona Univ., Italy
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    89
  • Lastpage
    90
  • Abstract
    The richness of semantic content of visual representation is related to the fact that it has an aspect right only for interpretation by human. When videos are stored in a database their retrieval is normally performed simply by name. The need to have information on their content, during the retrieval phase, is growing and its extraction constitutes a challenge if performed automatically by the retrieval system itself. Various researchers attempted to associate each film to a global description that is automatically extracted and is a way to index it in a database. The Moving Picture Expert Group actually is working to a new standard, named MPEG-7, which deals with a multimedia content description interface, that does not include an automatic extraction of descriptions and says nothing about a browser for showing these descriptions. The work presented focuses on two aspects: extraction of a compact representation of a frame series and of a description based on little number of features; and definition of a query language constituted by a set of predicates and facts; these last are derived by a series of features automatically extracted from the frame sequence. A main tool to extract a compact representation from a series of frames is mosaicing
  • Keywords
    content-based retrieval; feature extraction; multimedia databases; query languages; video databases; video signal processing; MPEG-7; Moving Picture Expert Group; automatic content extraction; compact representation; content based retrieval; feature extraction; frame sequence; frame series; global description; multimedia content description interface; query language; retrieval system; semantic content; video databases; video description; visual representation; Content based retrieval; Data mining; Database languages; Humans; Indexes; Information retrieval; MPEG 7 Standard; MPEG standards; Multimedia databases; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Languages, 2000. Proceedings. 2000 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • ISSN
    1049-2615
  • Print_ISBN
    0-7695-0840-5
  • Type

    conf

  • DOI
    10.1109/VL.2000.874367
  • Filename
    874367