Multimedia Retrieval based on Geometric Distance in Semi-structured Document

Sana Fakhfakh, Mohamed Tmar, Walid Mahdi

2014

Abstract

This paper is included on multimedia retrieval in XML document, whose goal is to find relevant multimedia element. In this article, we are particularly interested by studing the impact of various structural factors for image retrieval by our proposed method using a new evidence of source applied to media "image". This method consist to define a geometric distance between XML nodes. Experiments are undertaken into two data sets "INEX 2007" and "ImageCLEF 2010". The obtained results showed effectiveness of our approach.

Paper Citation

in Harvard Style

Fakhfakh S., Tmar M. and Mahdi W. (2014). Multimedia Retrieval based on Geometric Distance in Semi-structured Document . In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-023-9, pages 220-225. DOI: 10.5220/0004964102200225

in Bibtex Style

@conference{webist14,
author={Sana Fakhfakh and Mohamed Tmar and Walid Mahdi},
title={Multimedia Retrieval based on Geometric Distance in Semi-structured Document},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2014},
pages={220-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004964102200225},
isbn={978-989-758-023-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Multimedia Retrieval based on Geometric Distance in Semi-structured Document
SN - 978-989-758-023-9
AU - Fakhfakh S.
AU - Tmar M.
AU - Mahdi W.
PY - 2014
SP - 220
EP - 225
DO - 10.5220/0004964102200225