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      Evaluation of a trademark image retrieval system


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      Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research (IR)

      IR Research

      8-9 April 1997

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          This paper describes the evaluation of ARTISAN, a system designed to provide automatic retrieval of abstract trademark images by shape feature. The system depends for its operation on analyzing each image to characterize key shape components, grouping image regions into families which potentially mirror human image perception, and then deriving characteristic indexing features from these families. A variety of run-time search options is provided, allowing the user to select alternative sets of shape features and similarity matching paradigms.

          The system’s retrieval effectiveness has been evaluated by measuring its retrieval effectiveness using a set of 12 real queries with known results put to a collection of over 10 000 abstract geometric shapes from the UK Trade Marks Registry. Normalized recall and precision scores averaged 0.93 and 0.65 respectively. The results suggest strongly that the basic ARTISAN approach is valid, though the present version has significant limitations, particularly when handling badly-scanned images or images with implied shape features. Possible ways of overcoming these limitations are discussed.

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          Author and article information

          April 1997
          April 1997
          : 1-10
          Department of Computing, University of Northumbria at Newcastle, Newcastle NE1 8ST, UK
          Department of Information and Library Management, University of Northumbria at Newcastle
          Department of Computing, University of Northumbria at Newcastle
          © J P Eakins et al. Published by BCS Learning and Development Ltd. Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, Aberdeen, Scotland

          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/

          Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research
          Aberdeen, Scotland
          8-9 April 1997
          Electronic Workshops in Computing (eWiC)
          IR Research
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Electronic Workshops in Computing


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