Nohis-Tree: High-Dimensional Index Structure For Similarity Search

Mounira Taileb, Sami Touati
2011 Zenodo  
In Content-Based Image Retrieval systems it is important to use an efficient indexing technique in order to perform and accelerate the search in huge databases. The used indexing technique should also support the high dimensions of image features. In this paper we present the hierarchical index NOHIS-tree (Non Overlapping Hierarchical Index Structure) when we scale up to very large databases. We also present a study of the influence of clustering on search time. The performance test results
more » ... that NOHIS-tree performs better than SR-tree. Tests also show that NOHIS-tree keeps its performances in high dimensional spaces. We include the performance test that try to determine the number of clusters in NOHIS-tree to have the best search time.
doi:10.5281/zenodo.1085694 fatcat:76b35q5vbvhlnnyictixb4xoby