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Sinha et al., 2008 - Google Patents

Classification and annotation of digital photos using optical context data

Sinha et al., 2008

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Document ID
9672168669557972060
Author
Sinha P
Jain R
Publication year
Publication venue
Proceedings of the 2008 international conference on Content-based image and video retrieval

External Links

Snippet

Other than the pixel information, a digital photo of today has a host of other information regarding the photo shooting event. These information are captured by different sensors present on the camera and are stored as metadata. In this paper we exploit this meta …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30784Information 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
    • 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
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    • G06F17/30017Multimedia data retrieval; Retrieval of more than one type of audiovisual media
    • G06F17/30023Querying
    • G06F17/30038Querying based on information manually generated or based on information not derived from the media content, e.g. tags, keywords, comments, usage information, user ratings
    • GPHYSICS
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