Towards Visual Vocabulary and Ontology-based Image Retrieval System

Jalila Filali, Hajer Baazaoui Zghal, Jean Martinet

Abstract

Several approaches have been introduced in image retrieval field. However, many limitations, such as the semantic gap, still exist. As our motivation is to improve image retrieval accuracy, this paper presents an image retrieval system based on visual vocabulary and ontology. We propose, for every query image, to build visual vocabulary and ontology based on images annotations. Image retrieval process is performed by integrating both visual and semantic features and similarities.

References

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Paper Citation


in Harvard Style

Filali J., Zghal H. and Martinet J. (2016). Towards Visual Vocabulary and Ontology-based Image Retrieval System . In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-172-4, pages 560-565. DOI: 10.5220/0005832805600565


in Bibtex Style

@conference{icaart16,
author={Jalila Filali and Hajer Baazaoui Zghal and Jean Martinet},
title={Towards Visual Vocabulary and Ontology-based Image Retrieval System},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2016},
pages={560-565},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005832805600565},
isbn={978-989-758-172-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Towards Visual Vocabulary and Ontology-based Image Retrieval System
SN - 978-989-758-172-4
AU - Filali J.
AU - Zghal H.
AU - Martinet J.
PY - 2016
SP - 560
EP - 565
DO - 10.5220/0005832805600565