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      Search Techniques Within a Multiple Database Environment

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      Challenge of Image Retrieval (CIR)

      Image Retrieval

      5 February 1998

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          Abstract

          For many information providers, over a range of applications, digital images are the medium of choice and the efficient and effective retrieval of those images is an active area of interest. Traditional keyword-based search techniques are being supplemented by image content-based methods and attention is being given to so-called meta-searchers, which enable multiple databases to be queried with a single request. In this paper, we describe work being conducted in a multiple database environment, using both conventional and content-based techniques, with particular emphasis on the need to cater for the naive user. The work is being carried out as part of the ELISE project (Electronic Library Image Server for Europe), which is partly funded by the European Community under its Fourth Framework Libraries Programme.

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          Most cited references 3

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          Indexing pictorial documents by their content: a survey of current techniques

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            User interfaces for content-based image retrieval

             C.L. Bird (1996)
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              Schema coordination in federated database management: a comparison with schema integration

               J. Leon Zhao (1997)
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                Author and article information

                Conference
                February 1998
                February 1998
                : 1-7
                Affiliations
                Applied Science & Technology Group, IBM UK Laboratories,

                Hursley Park, Winchester, Hampshire
                Article
                10.14236/ewic/CIR1998.3
                © C L Bird 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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