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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