Pii: S0306-4573(99)00021-7

نویسندگان

  • G. Ciocca
  • R. Schettini
چکیده

Content-based image retrieval systems require the development of relevance feedback mechanisms that allow the user to progressively re®ne the system's response to a query. In this paper a new relevance feedback mechanism is described which evaluates the feature distributions of the images judged relevant, or not relevant, by the user and dynamically updates both the similarity measure and the query in order to accurately represent the user's particular information needs. Experimental results demonstrate the e€ectiveness of this mechanism. # 1999 Elsevier Science Ltd. All rights reserved.

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تاریخ انتشار 1999