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Iizuka et al., 2016 - Google Patents

Let there be color! joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification

Iizuka et al., 2016

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Document ID
4026508573879890478
Author
Iizuka S
Simo-Serra E
Ishikawa H
Publication year
Publication venue
ACM Transactions on Graphics (ToG)

External Links

Snippet

We present a novel technique to automatically colorize grayscale images that combines both global priors and local image features. Based on Convolutional Neural Networks, our deep network features a fusion layer that allows us to elegantly merge local information …
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Classifications

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    • GPHYSICS
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    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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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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