Basharat et al., 2008 - Google Patents
Content based video matching using spatiotemporal volumesBasharat et al., 2008
View PDF- 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 …
- 230000011218 segmentation 0 abstract description 17
Classifications
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- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information 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
- G06F17/30799—Information 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
- G06F17/30811—Information 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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