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Choi et al., 2008 - Google Patents

Face annotation for personal photos using context-assisted face recognition

Choi et al., 2008

View PDF
Document ID
10800696443437234601
Author
Choi J
Yang S
Ro Y
Plataniotis K
Publication year
Publication venue
Proceedings of the 1st ACM International Conference on Multimedia information retrieval

External Links

Snippet

Face annotation for personal photos has a number of potential applications in Multimedia Information Retrieval (MIR). We propose a novel face annotation method that systematically combines contextual information of photos with traditional Face Recognition (FR) …
Continue reading at koasas.kaist.ac.kr (PDF) (other versions)

Classifications

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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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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/00288Classification, e.g. identification
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    • G06F17/30799Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
    • GPHYSICS
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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00711Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content

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