DocumentCode
1985395
Title
A fast nearest-neighbor search algorithm
Author
Orchard, Michael T.
Author_Institution
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
fYear
1991
fDate
14-17 Apr 1991
Firstpage
2297
Abstract
A fast nearest-neighbor search algorithm is developed which incorporates prior information about input vectors. The prior information comes in the form of a vector from the codebook which is known to be near the input vector, though it may not be the nearest codebook vector. A number of applications are described for which such prior information is available. The algorithm has a very simple structure and can be designed to have very low memory requirements. The new algorithm requires much less computation for constructing precomputed tables than previously proposed algorithms with comparable performance. Simulations show dramatic saving over conventional full search methods
Keywords
data compression; encoding; codebook vector; fast nearest-neighbor search algorithm; input vectors; simulations; vector quantisation; Algorithm design and analysis; Computational modeling; Encoding; Euclidean distance; Nearest neighbor searches; Particle measurements; Search methods; Search problems; Testing; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150755
Filename
150755
Link To Document