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Huang et al., 2017 - Google Patents

Multi-query image retrieval using CNN and SIFT features

Huang et al., 2017

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Document ID
10627526627458693312
Author
Huang S
Hang H
Publication year
Publication venue
2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

External Links

Snippet

Due to the rapid growth of image number, the content-based image retrieval becomes an indispensable tool for huge databases. In this study, our focus is retrieving a specific building at different viewing angles stored in a database. In addition, if the user can provide …
Continue reading at www.apsipa.org (PDF) (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G06F17/30256Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using a combination of image content features
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