Dang et al., 2012 - Google Patents
A video copy detection algorithm based on two-level features measureDang et al., 2012
- Document ID
- 11997978155182426321
- Author
- Dang J
- Lu B
- Yao J
- Publication year
- Publication venue
- International Conference on Artificial Intelligence and Computational Intelligence
External Links
Snippet
Video copy detection is a crucial technique for copyright protection. However, the main disadvantages of most existing approaches are high computational cost and low robustness. In this paper, we consider videos as a set of shots and propose a video copy detection …
- 238000001514 detection method 0 title abstract description 27
Classifications
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- 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
- G06F17/30802—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 colour or luminescence
-
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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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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30837—Query results presentation or summarisation specifically adapted for the retrieval of video data
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4642—Extraction of features or characteristics of the image by performing operations within image blocks or by using histograms
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
- G06K9/00744—Extracting features from the video content, e.g. video "fingerprints", or characteristics, e.g. by automatic extraction of representative shots or key frames
- G06K9/00751—Detecting suitable features for summarising video content
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T1/0021—Image watermarking
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