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Phan et al., 2013 - Google Patents

Recognition of video text through temporal integration

Phan et al., 2013

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Document ID
14969601692659149840
Author
Phan T
Shivakumara P
Lu T
Tan C
Publication year
Publication venue
2013 12th International Conference on Document Analysis and Recognition

External Links

Snippet

This paper presents a method for temporal integration, which can be used to improve the recognition accuracy of video texts. Given a word detected in a video frame, we use a combination of Stroke Width Transform and SIFT (Scale Invariant Feature Transform) to track …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • G06K9/20Image acquisition
    • G06K9/32Aligning or centering of the image pick-up or image-field
    • G06K9/3233Determination of region of interest
    • G06K9/325Detection of text region in scene imagery, real life image or Web pages, e.g. licenses plates, captions on TV images
    • G06K9/3258Scene text, e.g. street name
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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    • G06K9/2054Selective acquisition/locating/processing of specific regions, e.g. highlighted text, fiducial marks, predetermined fields, document type identification
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    • G06K9/38Quantising the analogue image signal, e.g. histogram thresholding for discrimination between background and foreground patterns
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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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
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