• DocumentCode
    2207517
  • Title

    Visual websearching using iconic queries

  • Author

    Lew, Michael S. ; Sebe, Nicu

  • Author_Institution
    Inst. of Adv. Comput. Sci., Leiden Univ., Netherlands
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    788
  • Abstract
    Imagine a professional Web site designer who constantly has to come up with innovative looks for the client´s homepages? How does he find the new content? The major search engines such as Hotbot (http://www.hotbot.com) allow us to find text on the Web, but typically have few or no capabilities for finding visual media. In this article we discuss methods for finding visual media on the WWW. The emphasis is on iconic queries which are essentially drag-and-drop visual concepts or simple semantics. We describe our method for finding static feature sets and then describe a novel method called active feature sets, which chooses a feature set based on the context in the image
  • Keywords
    image matching; query processing; active feature sets; iconic queries; visual matching; visual media; visual websearching; Computer science; Computer vision; Humans; Identity-based encryption; Image coding; Image databases; Read only memory; Shape measurement; Video compression; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.854959
  • Filename
    854959