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Homola, 2013 - Google Patents

Techniques for content-based sub image retrieval

Homola, 2013

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Document ID
17035812864753851981
Author
Homola T
Publication year
Publication venue
PH. D. Thesis

External Links

Snippet

Image retrieval is a field of study that is concerned with searching and browsing digital images from a database collection. This area of research is very active since the 1970s. At that time, keyword-based image retrieval systems were used that utilized keywords as …
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Classifications

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    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
    • G06F17/30595Relational databases
    • G06F17/30598Clustering or classification
    • GPHYSICS
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    • G06FELECTRICAL DIGITAL DATA PROCESSING
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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
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    • G06F17/30781Information retrieval; Database structures therefor; File system structures therefor of video data
    • 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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    • G06K9/4671Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
    • G06K9/4676Extracting features based on a plurality of salient regional features, e.g. "bag of words"
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    • GPHYSICS
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    • G06F17/30017Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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