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Authors: Nastaran Fatemi 1 ; Florian Poulin 1 ; Laura E. Raileanu 1 and Alan F. Smeaton 2

Affiliations: 1 Univ. of Applied Science of Western Switzerland, Switzerland ; 2 Dublin City Univ., Ireland

ISBN: 978-989-674-011-5

Keyword(s): Mining multimedia data, Association rule mining, Video indexing, Inter-concept relations.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Multimedia Data ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: In order to achieve true content-based information retrieval on video we should analyse and index video with high-level semantic concepts in addition to using user-generated tags and structured metadata like title, date, etc. However the range of such high-level semantic concepts, detected either manually or automatically, is usually limited compared to the richness of information content in video and the potential vocabulary of available concepts for indexing. Even though there is work to improve the performance of individual concept classifiers, we should strive to make the best use of whatever partial sets of semantic concept occurrences are available to us. We describe in this paper our method for using association rule mining to automatically enrich the representation of video content through a set of semantic concepts based on concept co-occurrence patterns. We describe our experiments on the TRECVid 2005 video corpus annotated with the 449 concepts of the LSCOM ontology. The ev aluation of our results shows the usefulness of our approach. (More)

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Paper citation in several formats:
Fatemi N.; Poulin F.; E. Raileanu L.; F. Smeaton A. and (2009). USING ASSOCIATION RULE MINING TO ENRICH SEMANTIC CONCEPTS FOR VIDEO RETRIEVAL.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009) ISBN 978-989-674-011-5, pages 119-126. DOI: 10.5220/0002275701190126

@conference{kdir09,
author={Nastaran Fatemi and Florian Poulin and Laura {E. Raileanu} and Alan {F. Smeaton}},
title={USING ASSOCIATION RULE MINING TO ENRICH SEMANTIC CONCEPTS FOR VIDEO RETRIEVAL},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)},
year={2009},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002275701190126},
isbn={978-989-674-011-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)
TI - USING ASSOCIATION RULE MINING TO ENRICH SEMANTIC CONCEPTS FOR VIDEO RETRIEVAL
SN - 978-989-674-011-5
AU - Fatemi, N.
AU - Poulin, F.
AU - E. Raileanu, L.
AU - F. Smeaton, A.
PY - 2009
SP - 119
EP - 126
DO - 10.5220/0002275701190126

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