DocumentCode :
2513522
Title :
MONORAIL: A Disk-Friendly Index for Huge Descriptor Databases
Author :
Akune, Fernando ; Valle, Eduardo ; Torres, Ricardo
Author_Institution :
RECOD Lab. - IC, UNICAMP, Campinas, Brazil
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
4145
Lastpage :
4148
Abstract :
We propose MONORAIL, an indexing scheme for very large multimedia descriptor databases. Our index is based on the Hilbert curve, which is able to map the high-dimensional space of those descriptors to a single dimension. Instead of using several curves to mitigate boundary effects, we use a single curve with several surrogate points for each descriptor. Thus, we are able to reduce the random accesses to the bare minimum. In a rigorous empirical comparison with another method based on multiple surrogates, ours shows a significant improvement, due to our careful choice of the surrogate points.
Keywords :
database indexing; multimedia databases; query processing; Hilbert curve; MONORAIL; boundary effects; disk-friendly index; high-dimensional space mapping; huge descriptor database; large multimedia descriptor database; Artificial neural networks; Fractals; Indexing; Nearest neighbor searches; Noise measurement; high-dimensional indexing; hilbert curves; multimedia indexing; nearest neighbor search; nn search; similarity search; space-filling curves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.1008
Filename :
5597727
Link To Document :
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