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Purwanto et al., 2018 - Google Patents

Video summarization: how to use deep-learned features without a large-scale dataset

Purwanto et al., 2018

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Document ID
7510441885505577310
Author
Purwanto D
Chen Y
Fang W
Wu W
Publication year
Publication venue
2018 9th International conference on awareness science and technology (iCAST)

External Links

Snippet

This paper proposes a framework incorporating deep-learned features with the conventional machine learning models within which the objective function is optimized by using quadratic programming or quasi-Newton methods instead of an end-to-end deep learning approach …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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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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