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      A Novel Architecture for Trademark Image Retrieval Systems

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      Challenge of Image Retrieval (CIR)

      Image Retrieval

      5 February 1998

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          Abstract

          This paper describes the first phase of an ongoing research project aimed at implementing a trademark retrieval system using an associative memory neural network. The novel aspect of the work described in this paper is the presentation of a new integrated methodology for employing multiple interpretations from different analytical levels of images for image retrieval. In achieving this objective, we extract local features as well as features of the closed figures of images. In deriving alternative interpretations of the images, a segment level gestalt grouping method based on a modification of Sarkar and Boyer’s method is used. In designing the search engine of the system we have adopted a novel similarity assessment criteria based on local features as well as features of the closed figures, which may feasibly be implemented using an associative memory neural network to achieve high performance in retrieval.

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          Most cited references 8

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          Query by image and video content: the QBIC system

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            Similar-shape retrieval in shape data management

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              Robust contour decomposition using a constant curvature criterion

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                Author and article information

                Contributors
                Conference
                February 1998
                February 1998
                : 1-16
                Affiliations
                Department of Computer Science

                University of York

                York, Y01 5DD, UK
                Article
                10.14236/ewic/CIR1998.10
                © Sujeewa Alwis 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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