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