Towards a multimodality ontology image retrieval

Ontology based retrieval is gaining popularity due to the limitation posed by the conventional bag-of-words retrieval system. To semantically search for images, textual descriptions are usually used since low level features provide little meaningful information. As such conventional searching and re...

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Main Authors: M. Khalid, Yanti Idaya Aspura, Noah, Shahrul Azman, Sheikh Abdullah, Siti Norulhuda
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2011
Subjects:
Online Access:http://irep.iium.edu.my/30412/1/chp%253A10.1007%252F978-3-642-25200-6_36.pdf
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author M. Khalid, Yanti Idaya Aspura
Noah, Shahrul Azman
Sheikh Abdullah, Siti Norulhuda
author_facet M. Khalid, Yanti Idaya Aspura
Noah, Shahrul Azman
Sheikh Abdullah, Siti Norulhuda
author_sort M. Khalid, Yanti Idaya Aspura
collection IIUM
description Ontology based retrieval is gaining popularity due to the limitation posed by the conventional bag-of-words retrieval system. To semantically search for images, textual descriptions are usually used since low level features provide little meaningful information. As such conventional searching and retrieving of images are currently being employed. Complex querying and enhanced semantic search still remain the issues to be solved in image retrieval systems. We proposed an ontology driven framework for supporting image retrieval with particular emphasis on the sport news domain. Furthermore, we look into the possibility how multimodality ontology can be integrated in the framework and shows how open knowledge-bases such as the DBpedia play an important role in this area.
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spelling oai:generic.eprints.org:304122015-09-02T06:07:14Z http://irep.iium.edu.my/30412/ Towards a multimodality ontology image retrieval M. Khalid, Yanti Idaya Aspura Noah, Shahrul Azman Sheikh Abdullah, Siti Norulhuda T Technology (General) Z665 Library Science. Information Science Ontology based retrieval is gaining popularity due to the limitation posed by the conventional bag-of-words retrieval system. To semantically search for images, textual descriptions are usually used since low level features provide little meaningful information. As such conventional searching and retrieving of images are currently being employed. Complex querying and enhanced semantic search still remain the issues to be solved in image retrieval systems. We proposed an ontology driven framework for supporting image retrieval with particular emphasis on the sport news domain. Furthermore, we look into the possibility how multimodality ontology can be integrated in the framework and shows how open knowledge-bases such as the DBpedia play an important role in this area. Springer Berlin Heidelberg 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30412/1/chp%253A10.1007%252F978-3-642-25200-6_36.pdf M. Khalid, Yanti Idaya Aspura and Noah, Shahrul Azman and Sheikh Abdullah, Siti Norulhuda (2011) Towards a multimodality ontology image retrieval. Visual Informatics: Sustaining Research and Innovations, 7067. pp. 382-393. ISSN 0302-9743 (P), 1611-3349 (O) http://link.springer.com/chapter/10.1007/978-3-642-25200-6_36 DOI: 10.1007/978-3-642-25200-6_36
spellingShingle T Technology (General)
Z665 Library Science. Information Science
M. Khalid, Yanti Idaya Aspura
Noah, Shahrul Azman
Sheikh Abdullah, Siti Norulhuda
Towards a multimodality ontology image retrieval
title Towards a multimodality ontology image retrieval
title_full Towards a multimodality ontology image retrieval
title_fullStr Towards a multimodality ontology image retrieval
title_full_unstemmed Towards a multimodality ontology image retrieval
title_short Towards a multimodality ontology image retrieval
title_sort towards a multimodality ontology image retrieval
topic T Technology (General)
Z665 Library Science. Information Science
url http://irep.iium.edu.my/30412/1/chp%253A10.1007%252F978-3-642-25200-6_36.pdf
work_keys_str_mv AT mkhalidyantiidayaaspura towardsamultimodalityontologyimageretrieval
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