Content Based Image Retrieval System Using NOHIS-tree
Information Retrieval
2013-03-01 v1 Computer Vision and Pattern Recognition
Databases
Abstract
Content-based image retrieval (CBIR) has been one of the most important research areas in computer vision. It is a widely used method for searching images in huge databases. In this paper we present a CBIR system called NOHIS-Search. The system is based on the indexing technique NOHIS-tree. The two phases of the system are described and the performance of the system is illustrated with the image database ImagEval. NOHIS-Search system was compared to other two CBIR systems; the first that using PDDP indexing algorithm and the second system is that using the sequential search. Results show that NOHIS-Search system outperforms the two other systems.
Keywords
Cite
@article{arxiv.1302.7039,
title = {Content Based Image Retrieval System Using NOHIS-tree},
author = {Mounira Taileb},
journal= {arXiv preprint arXiv:1302.7039},
year = {2013}
}
Comments
6 pages, 10th International Conference on Advances in Mobile Computing & Multimedia (MoMM2012)