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An analysis of multi-level filtering for high dimensional image data Tam, Dominic Pok Man
Abstract
Image database systems are very useful in many applications. To design an effective image database system, high dimensional image feature vectors have to be extracted from the images automatically. Each comparison between them tends to be expensive, so sequential comparisons are usually impractical. Moreover, the. traditional multi-dimensional indexing structures are incapable of handling these high-dimensional vectors efficiently. Thus, it has been proposed to abstract lower dimensional k-D vector from the original N-D feature vector, where k
Item Metadata
Title |
An analysis of multi-level filtering for high dimensional image data
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1996
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Description |
Image database systems are very useful in many applications. To design an effective image
database system, high dimensional image feature vectors have to be extracted from the
images automatically. Each comparison between them tends to be expensive, so sequential
comparisons are usually impractical. Moreover, the. traditional multi-dimensional
indexing structures are incapable of handling these high-dimensional vectors efficiently.
Thus, it has been proposed to abstract lower dimensional k-D vector from the original
N-D feature vector, where k
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Extent |
5532572 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-02-11
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0051429
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1996-05
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.