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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2994783
Abstract: When attempting to analyze and understand large-scale video datasets, choosing training videos using active learning can significantly reduce the annotation costs associated with supervised learning without sacrificing the accuracy of classifiers. However, to further reduce…
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Keywords:
video;
structure information;
active learning;
video hashing ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2024.3368924
Abstract: The most important effect of the video hashing technique is to support fast retrieval, which is benefiting from the high efficiency of binary calculation. Current video hash approaches are thus mainly targeted at learning compact…
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Keywords:
video;
unsupervised video;
video hashing;
efficient unsupervised ... See more keywords