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Dhawale et al., 2008 - Google Patents

A novel approach towards keyframe selection for video summarization

Dhawale et al., 2008

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Document ID
17945131748369437642
Author
Dhawale C
Jain S
Publication year
Publication venue
Asian Journal of Information Technology

External Links

Snippet

For the short summary of large video, first step is to split the longer video into shots, then the representative frames (key-frames) for each shot are selected. These representative frames together form the video summary. In this study we have considered the video key-frame …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30781Information 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
    • G06F17/30811Information 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 using motion, e.g. object motion, camera motion
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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
    • G06F17/30805Information 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 using shape
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    • G06F17/30802Information 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 using colour or luminescence
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
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    • G06F17/30837Query results presentation or summarisation specifically adapted for the retrieval of video data
    • G06F17/30843Presentation in form of a video summary, e.g. the video summary being a video sequence, a composite still image or having synthesized frames
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    • G06F17/30781Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30817Information retrieval; Database structures therefor; File system structures therefor of video data using information manually generated or using information not derived from the video content, e.g. time and location information, usage information, user ratings
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    • G06T7/00Image analysis

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