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      Text-Image Interaction for Image Retrieval and Semi-Automatic Indexing

      20th Annual BCS-IRSG Colloquium on IR (IRSG)

      BCS-IRSG Colloquium on IR

      25-27 March 1998

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          Abstract

          This paper addresses the issue of retrieving images based on visual content, according a particular attention to the semantic dimension of information retrieval. A brief review of existing Image Retrieval Systems is provided, hilighting a major drawback of these prototypes, namely the lack of integration between classical “semantic search”, and visual similarity retrieval (i.e. content-based retrieval). A new approach is proposed, that tries to integrate a real “semantic” dimension into visual content-based image retrieval. Images may be retrieved either by keyword matching (for manually indexed images), or by visual content matching. This approach is then particularly adapted to partially indexed databases, and may be used in a semi-automatic indexing tool.

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          Author and article information

          Contributors
          Conference
          March 1998
          March 1998
          : 1-17
          Affiliations
          UMR Loria

          BP 239 – F-54506 Vandoeuvre-les-Nancy cedex, France.
          Article
          10.14236/ewic/IRSG1998.2
          © Gérald Duffing. Published by BCS Learning and Development Ltd. 20th Annual BCS-IRSG Colloquium on IR, Autrans, France

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          20th Annual BCS-IRSG Colloquium on IR
          IRSG
          20
          Autrans, France
          25-27 March 1998
          Electronic Workshops in Computing (eWiC)
          BCS-IRSG Colloquium on IR
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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