Prathiba et al., 2021 - Google Patents
Eagle eye CBVR based on unique key frame extraction and deep belief neural networkPrathiba et al., 2021
View PDF- Document ID
- 14166789348845891609
- Author
- Prathiba T
- Kumari R
- Publication year
- Publication venue
- Wireless Personal Communications
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Snippet
Great efforts have been paid to develop Content Based Video Retrieval (CBVR) due to the exponential growth of video datasets with several types of data such as visual, audio and metadata. This paper proposes Eagle Eye a new Content Based Video Retrieval Framework …
- 238000000605 extraction 0 title abstract description 54
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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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
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- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
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- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
- G06F17/30023—Querying
- G06F17/30038—Querying based on information manually generated or based on information not derived from the media content, e.g. tags, keywords, comments, usage information, user ratings
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- G—PHYSICS
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- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
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- G—PHYSICS
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