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Bekhet et al., 2020 - Google Patents

Evaluation of similarity measures for video retrieval

Bekhet et al., 2020

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Document ID
10984697958878565772
Author
Bekhet S
Ahmed A
Publication year
Publication venue
Multimedia Tools and Applications

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Snippet

Similarity measures are very crucial especially in the field of information retrieval. Thus, various distance/similarity measures were proposed throughout the literature. In the video retrieval field, videos are represented as multi-dimensional features vector. Once this …
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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
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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
    • G06F17/30256—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using a combination of image content features
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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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