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Authors: Abdesalam Amrane 1 ; Hakima Mellah 1 ; Youssef Amghar 2 and Rachid Aliradi 1

Affiliations: 1 Research Center on Scientific and Technical Information (CERIST), Algeria ; 2 University of Lyon, CNRS, INSA-Lyon, LIRIS and UMR5205, France

Keyword(s): Automatic annotation; Multimedia retrieval; Query languages; Images classification; SVM classifier; SIFT descriptors; Semantic representation; Multimodal retrieval; Semantic similarity; Textual indexing

Abstract: Multimedia retrieval approaches are classified into three categories: those using textual information, and those using low-level information and those that combine different information extracted from multimedia. Each approach has its advantages and disadvantages as well to improving multimedia retrieval systems. The recent works are oriented towards multimodal approaches. It is in this context that we propose an approach that combines the surrounding text with the information extracted from the visual content of multimedia and represented in the same repository in order to allow querying multimedia content based on keywords or concepts. Each word contained in queries or in description of multimedia is disambiguated by using the WordNet in order to define its semantic concept.

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Paper citation in several formats:
Amrane, A.; Mellah, H.; Amghar, Y. and Aliradi, R. (2013). Indexing Multimedia Content for Textual Querying: A Multimodal Approach. In Proceedings of the 2nd International Workshop on Web Intelligence (ICEIS 2013) - WEBI; ISBN 978-989-8565-63-1, SciTePress, pages 3-12. DOI: 10.5220/0004576200030012

@conference{webi13,
author={Abdesalam Amrane. and Hakima Mellah. and Youssef Amghar. and Rachid Aliradi.},
title={Indexing Multimedia Content for Textual Querying: A Multimodal Approach},
booktitle={Proceedings of the 2nd International Workshop on Web Intelligence (ICEIS 2013) - WEBI},
year={2013},
pages={3-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004576200030012},
isbn={978-989-8565-63-1},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Web Intelligence (ICEIS 2013) - WEBI
TI - Indexing Multimedia Content for Textual Querying: A Multimodal Approach
SN - 978-989-8565-63-1
AU - Amrane, A.
AU - Mellah, H.
AU - Amghar, Y.
AU - Aliradi, R.
PY - 2013
SP - 3
EP - 12
DO - 10.5220/0004576200030012
PB - SciTePress