Document Details

Document Type : Article In Conference 
Document Title :
NOHIS-Tree: High-Dimensional Index Structure for Similarity Search
NOHIS= شجرة بُنية الفهرسة الهرمية غير المتداخلة: بُنية الفهرسة ذات الأبعاد العالية والخاصة بالبحث عن المتشابهات
 
Subject : High dimensional indexing 
Document Language : English 
Abstract : 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 show 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 
Conference Name : The 2011 International Conference on Bioinformatics, Computational Biology and Biomedical Engineering (ICBCBBE 2011), 
Duration : From : 00 AH - To : 00 AH
From : 14 نوفمبر 2011 AD - To : 14 نوفمبر 2011 AD 
Publishing Year : 1432 AH
2011 AD 
Number Of Pages : 8 
Article Type : Article 
Conference Place : Paris, France 
Organizing Body : World Academy of Science, Engineering and Technology 
Added Date : Wednesday, June 20, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Mounira TailebTaileb, Mounira Investigator mtaileb@kau.edu.sa
Sami TOUATITOUATI, TOUATI Researcher stouati@ksu.edu.sa

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