Adaptive Semantic Construction for Diversity-based Image Retrieval

Ghada Feki, Anis Ben Ammar, Chokri Ben Amar

2014

Abstract

In recent years, the explosive growth of multimedia databases and digital libraries reveals crucial problems in indexing and retrieving images, what led us to develop our own approach. Our proposed approach TAD consists in disambiguating web queries to build an adaptive semantic for diversity-based image retrieval. In fact, the TAD approach is a puzzle constituted by three main components which are the TAWQU (Thesaurus-Based Ambiguous Web Query Understanding) process, the ASC (Adaptive Semantic Construction) process and the DR (Diversity-based Retrieval) process. The Wikipedia pages represent our main source of information. The NUS-WIDE dataset is the bedrock of our adaptive semantic. Actually, it permits us to perform a respectful evaluation. Fortunately, the experiments demonstrate promising results for the majority of the twelve ambiguous queries.

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Paper Citation


in Harvard Style

Feki G., Ben Ammar A. and Ben Amar C. (2014). Adaptive Semantic Construction for Diversity-based Image Retrieval . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 444-449. DOI: 10.5220/0005157104440449

in Bibtex Style

@conference{kdir14,
author={Ghada Feki and Anis Ben Ammar and Chokri Ben Amar},
title={Adaptive Semantic Construction for Diversity-based Image Retrieval},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={444-449},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005157104440449},
isbn={978-989-758-048-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - Adaptive Semantic Construction for Diversity-based Image Retrieval
SN - 978-989-758-048-2
AU - Feki G.
AU - Ben Ammar A.
AU - Ben Amar C.
PY - 2014
SP - 444
EP - 449
DO - 10.5220/0005157104440449