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Authors: Hatem Aouadi ; Mouna Torjmen Khemakhem and Maher Ben Jemaa

Affiliation: National School of Engineering of Sfax, Tunisia

ISBN: 978-989-758-298-1

Keyword(s): Context-based Image Retrieval, Implicit Links, Link Analysis, LDA.

Abstract: In context-based image retrieval, the textual information surrounding the image plays a main role in image retrieval. Although text-based approaches outperform content-based retrieval approaches, they can fail when query keywords are not matching the document content. Therefore, using only keywords in the retrieval process is not sufficient to have good results. To improve the retrieval accuracy, researchers proposed to enhance search accuracy by exploiting other contextual information such as hyperlinks that reflect a topical similarity between documents. However, hyperlinks are usually sparse and do not guarantee document content similarity (advertising and navigational hyperlinks). In addition, there are many missed links between similar documents (only few semantic links are created manually). In this paper, we propose to automatically create implicit links between images through computing the semantic similarity between the textual information surrounding those images. We studied the effectiveness of the links generated automatically in the image retrieval process. Results showed that combining different textual representations of the image is more suitable for linking similar images. (More)

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Paper citation in several formats:
Aouadi H., Torjmen Khemakhem M. and Ben Jemaa M. (2018). Building Contextual Implicit Links for Image Retrieval.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 81-91. DOI: 10.5220/0006808400810091

@conference{iceis18,
author={Hatem Aouadi and Mouna Torjmen Khemakhem and Maher Ben Jemaa},
title={Building Contextual Implicit Links for Image Retrieval},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={81-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006808400810091},
isbn={978-989-758-298-1},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Building Contextual Implicit Links for Image Retrieval
SN - 978-989-758-298-1
AU - Aouadi H.
AU - Torjmen Khemakhem M.
AU - Ben Jemaa M.
PY - 2018
SP - 81
EP - 91
DO - 10.5220/0006808400810091

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