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Matthews et al., 2019 - Google Patents

Classification and comparison of on-line video summarisation methods

Matthews et al., 2019

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Document ID
13564759759648227200
Author
Matthews C
Kuncheva L
Yousefi P
Publication year
Publication venue
Machine Vision and Applications

External Links

Snippet

Many methods exist for generating keyframe summaries of videos. However, relatively few methods consider on-line summarisation, where memory constraints mean it is not practical to wait for the full video to be available for processing. We propose a classification …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

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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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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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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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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    • G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30817—Information retrieval; Database structures therefor; File system structures therefor of video data using information manually generated or using information not derived from the video content, e.g. time and location information, usage information, user ratings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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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
    • G—PHYSICS
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    • G—PHYSICS
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    • G—PHYSICS
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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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    • G06K9/46—Extraction of features or characteristics of the image
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G11B27/10—Indexing; Addressing; Timing or synchronising; Measuring tape travel
    • G11B27/19—Indexing; Addressing; Timing or synchronising; Measuring tape travel by using information detectable on the record carrier

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