Sudha et al., 2015 - Google Patents
Reducing semantic gap in video retrieval with fusion: A surveySudha et al., 2015
View PDF- Document ID
- 15876196339353468431
- Author
- Sudha D
- Priyadarshini J
- Publication year
- Publication venue
- Procedia Computer Science
External Links
Snippet
Abstract: Multimedia provides a rich content of information and huge amount of data's are available in the field of video retrieval. Now day's enormous videos are available on web and online to accessible from internet or retrieve videos from smart phones, digital cellular …
- 230000004927 fusion 0 title abstract description 4
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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