DocumentCode :
318226
Title :
Fast image database search using tree-structured VQ
Author :
Chen, Jau-Yuen ; Bouman, Charles A. ; Allebach, Jan P.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
2
fYear :
1997
fDate :
26-29 Oct 1997
Firstpage :
827
Abstract :
We exploit the techniques of tree structured vector quantization (TSVQ), branch and bound search, and the triangle inequality to speed the search of large image databases. Our method can reduce search computation required to locate images which best match a query image provided by a user. While exact search is possible, a free parameter allows search accuracy to be reduced, thereby providing a substantially better speed-up versus accuracy tradeoff
Keywords :
image coding; query processing; search problems; tree data structures; vector quantisation; visual databases; TSVQ; branch and bound search; exact search; fast image database search; free parameter; large image databases; query image; search accuracy; search computation reduction; speed-up; tree-structured VQ; triangle inequality; vector quantization; Art; Data engineering; Graphics; Image databases; Image storage; Keyword search; Manuals; Photography; Spatial databases; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.638624
Filename :
638624
Link To Document :
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