Sebastine et al., 2009 - Google Patents
Semantic web for content based video retrievalSebastine et al., 2009
View PDF- Document ID
- 13627908582937869836
- Author
- Sebastine S
- Thuraisingham B
- Prabhakaran B
- Publication year
- Publication venue
- 2009 IEEE International Conference on Semantic Computing
External Links
Snippet
This paper aims to provide a semantic Web based video search engine. Currently, we do not have scalable integration platforms to represent extracted features from videos, so that they could be indexed and searched. The task of indexing extracted features from videos is a …
- 238000000605 extraction 0 abstract description 21
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- 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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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30312—Storage and indexing structures; Management thereof
- G06F17/30321—Indexing structures
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- G—PHYSICS
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- 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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- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- 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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- 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
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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