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Basharat et al., 2008 - Google Patents

Content based video matching using spatiotemporal volumes

Basharat et al., 2008

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Document ID
11411830031361784834
Author
Basharat A
Zhai Y
Shah M
Publication year
Publication venue
Computer Vision and Image Understanding

External Links

Snippet

This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. Instead of using appearance features for region correspondence across frames, we use interest point trajectories to generate video volumes …
Continue reading at citeseerx.ist.psu.edu (PDF) (other versions)

Classifications

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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
    • 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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