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Does ontology help in image retrieval?: a comparison between keyword, text ontology and multi-modality ontology approaches

Published: 23 October 2006 Publication History

Abstract

Ontologies are effective for representing domain concepts and relations in a form of semantic network. Many efforts have been made to import ontology into information matchmaking and retrieval. This trend is further accelerated by the convergence of various high-level concepts and low-level features supported by ontologies. In this paper we propose a comparison between traditional keyword based image retrieval and the promising ontology based image retrieval. To be complete, we construct the ontologies not only on text annotation, but also on a combination of text annotation and image feature. The experiments are conducted on a medium-sized data set including about 4000 images. The result proved the efficacy of utilizing both text and image features in a multi modality ontology to improve the image retrieval.

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  • (2020)Visual-Semantic Matching by Exploring High-Order Attention and Distraction2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR42600.2020.01280(12783-12792)Online publication date: Jun-2020
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  • (2017)Semantic text-based image retrieval with multi-modality ontology and DBpediaThe Electronic Library10.1108/EL-06-2016-012735:6(1191-1214)Online publication date: 6-Nov-2017
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  1. Does ontology help in image retrieval?: a comparison between keyword, text ontology and multi-modality ontology approaches

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    cover image ACM Conferences
    MM '06: Proceedings of the 14th ACM international conference on Multimedia
    October 2006
    1072 pages
    ISBN:1595934472
    DOI:10.1145/1180639
    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: 23 October 2006

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    MM06: The 14th ACM International Conference on Multimedia 2006
    October 23 - 27, 2006
    CA, Santa Barbara, USA

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    View all
    • (2020)Visual-Semantic Matching by Exploring High-Order Attention and Distraction2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR42600.2020.01280(12783-12792)Online publication date: Jun-2020
    • (2020)On the use of semantic technologies for video analyticsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02021-yOnline publication date: 13-May-2020
    • (2017)Semantic text-based image retrieval with multi-modality ontology and DBpediaThe Electronic Library10.1108/EL-06-2016-012735:6(1191-1214)Online publication date: 6-Nov-2017
    • (2017)Image retrieval based on fuzzy ontologyMultimedia Tools and Applications10.1007/s11042-017-4812-976:21(22623-22645)Online publication date: 1-Nov-2017
    • (2016)Cross-modal Retrieval with Label CompletionProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2967231(302-306)Online publication date: 1-Oct-2016
    • (2016)Boosting image retrieval framework with salient objects2016 International Conference on Audio, Language and Image Processing (ICALIP)10.1109/ICALIP.2016.7846544(241-245)Online publication date: Jul-2016
    • (2016)Building change detection through multi-scale GEOBIA approach by integrating deep belief networks with fuzzy ontologiesInternational Journal of Image and Data Fusion10.1080/19479832.2016.1158211(1-24)Online publication date: 14-Mar-2016
    • (2016)Fuzzy Ontology Based Model for Image RetrievalMobile Web and Intelligent Information Systems10.1007/978-3-319-44215-0_9(108-120)Online publication date: 11-Aug-2016
    • (2015)Semantic Web Technologies for Object Tracking and Video AnalyticsAdvances in Visual Computing10.1007/978-3-319-27863-6_53(574-585)Online publication date: 18-Dec-2015
    • (2014)Semantic Rule Based Image Visual Feature Ontology CreationInternational Journal of Automation and Computing10.1007/s11633-014-0832-311:5(489-499)Online publication date: 1-Oct-2014
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