Learning From Web Videos for Event Classification.

IEEE Transactions on Circuits and Systems for Video Technology(2018)

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摘要
Traditional approaches for classifying event videos rely on a manually curated training data set. While this paradigm has achieved excellent results on benchmarks, such as TrecVid multimedia event detection (MED) challenge data sets, it is restricted by the effort involved in careful annotation. Recent approaches have attempted to address the need for annotation by automatically extracting images ...
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关键词
Videos,Training,Tires,Metadata,Visualization,YouTube,Feature extraction
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