• DocumentCode
    1002060
  • Title

    Searching the Visual Web

  • Author

    Ortiz, S.

  • Volume
    40
  • Issue
    6
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    12
  • Lastpage
    14
  • Abstract
    Google´s recent purchase of YouTube is a strong signal that video is the next big wave of content to hit the Web. Photos and other images are also becoming much more prevalent. This trend has developed in part because so many users now have the broadband connections necessary to receive and transmit multimedia files. The increase in online multimedia content means the types and amount of information users can find on the Internet is expanding rapidly. However, this information is largely useless unless it can be searched effectively and efficiently.
  • Keywords
    Internet; content-based retrieval; multimedia systems; search engines; video retrieval; Google; Internet; YouTube; image search; online multimedia content; video search; visual Web; Character recognition; Data mining; Face detection; Filters; Image color analysis; Image recognition; MPEG 7 Standard; Search engines; Speech analysis; Speech recognition; Blinkx; Podzinger; Visual Web;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2007.218
  • Filename
    4249805