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Hwang et al., 2010 - Google Patents

Accounting for the relative importance of objects in image retrieval.

Hwang et al., 2010

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Document ID
3103314606255816478
Author
Hwang S
Grauman K
Publication year
Publication venue
BMVC

External Links

Snippet

We introduce a method for image retrieval that leverages the implicit information about object importance conveyed by the list of keyword tags a person supplies for an image. We propose an unsupervised learning procedure based on Kernel Canonical Correlation …
Continue reading at bmva-archive.org.uk (PDF) (other versions)

Classifications

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    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G06F17/30256—Information 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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