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CMVF: a novel dimension reduction scheme for efficient indexing in a large image database

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International Conference on Management of Data archive
Proceedings of the 2003 ACM SIGMOD international conference on Management of data table of contents

San Diego, California

DEMONSTRATION SESSION: Online analytic processing table of contents

Pages: 657 - 657

Year of Publication: 2003

ISBN:1-58113-634-X

Authors

Jialie Shen	The University of New South Wales, Sydney, NSW, Australia
Anne H. H. Ngu	Southwest Texas State University, San Marcos, Texas
John Shepherd	The University of New South Wales, Sydney, NSW, Australia
Du Q. Huynh	The University of Western Australia, Crawley, WA, Austalia
Quan Z. Sheng	The University of New South Wales, Sydney, NSW, Australia

Sponsor

SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 24, Citation Count: 1

Additional Information:

references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

Anne H. H. Ngu , Quan Z. Sheng , Du Q. Huynh , Ron Lei, Combining multi-visual features for efficient indexing in a large image database, The VLDB Journal — The International Journal on Very Large Data Bases, v.9 n.4, p.279-293, April 2001

CITED BY

Jialie Shen , John Shepherd, Efficient benchmarking of content-based image retrieval via resampling, Proceedings of the 14th annual ACM international conference on Multimedia, October 23-27, 2006, Santa Barbara, CA, USA

INDEX TERMS

Primary Classification:
H. Information Systems
H.3 INFORMATION STORAGE AND RETRIEVAL
H.3.1 Content Analysis and Indexing
Subjects: Indexing methods