2013/02/28 by Mounira Taileb, Taileb, Mounira
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Data Management and Algorithms #Databases (cs.DB) #FOS: Computer and information sciences #H.3.3 #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #cs.CV #cs.DB #cs.IR
paper · pdf · doi:10.48550/arxiv.1302.7039
6 pages, 10th International Conference on Advances in Mobile Computing & Multimedia (MoMM2012)
arxiv created 2013/02/28 · openalex publication_date 2013/02/28 · arxiv updated 2013/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.