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An efficient method of image identification by combining image features

Published: 15 February 2009 Publication History

Abstract

This paper proposes an efficient image identification method by combining image features and using image clustering. For more efficient image identification, we use global and local features in a hierarchical manner. The combined global feature reflecting general information of image helps faster retrieval of candidate images and the feature point based local feature facilitates more accurate fine matching with the candidate images. We consider the Fuzzy C-Means clustering method since it is effective for the image data which are characteristically alike and have fuzzy boundary in coordinate by their global features. The global feature vector which we use is very effective in clustering and retrieval since it represents general properties of image and its dimension is very low. As a result, the number of fine matching which requires very large computing time and high complexity is considerably decreased since searching original image of query is done by fine matching within partial database of candidate images.

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  • (2016)Improving the Performance of Color-Based Signatures through Dynamic Selection of Adequate CCV-ThresholdProceedings of the 4th Spanish Conference on Information Retrieval10.1145/2934732.2934733(1-4)Online publication date: 14-Jun-2016

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    cover image ACM Conferences
    ICUIMC '09: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
    February 2009
    704 pages
    ISBN:9781605584058
    DOI:10.1145/1516241
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 15 February 2009

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    Author Tags

    1. clustering
    2. descriptor
    3. feature point
    4. global feature
    5. identifier
    6. image identification
    7. image retrieval
    8. interest point
    9. local feature

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    • (2016)Improving the Performance of Color-Based Signatures through Dynamic Selection of Adequate CCV-ThresholdProceedings of the 4th Spanish Conference on Information Retrieval10.1145/2934732.2934733(1-4)Online publication date: 14-Jun-2016

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