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      Supporting Image Search on the Web

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      Challenge of Image Retrieval (CIR)

      Image Retrieval

      5 February 1998

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          Abstract

          While pages on the Web contain more and more multimedia information, such as images, videos and audio, today search engines are mostly based on textual information. There is an emerging need of a new generation of search engines that try to exploit the full multimedia information present on the Web. The approach presented in this paper is based on a multimedia model intended to describe the various multimedia components, their structure and their relationships with a pre-defined taxonomy of concepts, in order to support the information retrieval process. A prototype of an image search engine, based on this approach, is presented as a first step in this direction, and results are discussed.

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          Author and article information

          Contributors
          Conference
          February 1998
          February 1998
          : 1-10
          Affiliations
          IEI-CNR Via S. Maria 46

          56126 Pisa Italy
          CNUCE-CNR Via S. Maria 36

          56126 Pisa Italy
          Article
          10.14236/ewic/CIR1998.2
          © Giuseppe Amato et al. Published by BCS Learning and Development Ltd. Challenge of Image Retrieval, University of Northumbria at Newcastle, UK

          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/

          Challenge of Image Retrieval
          CIR
          University of Northumbria at Newcastle, UK
          5 February 1998
          Electronic Workshops in Computing (eWiC)
          Image Retrieval
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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