Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length.

IEEE Transactions on Multimedia(2018)

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摘要
3-D convolutional neural networks (3-D-convNets) have been very recently proposed for action recognition in videos, and promising results are achieved. However, existing 3-D-convNets has two “artificial” requirements that may reduce the quality of video analysis: 1) It requires a fixed-sized (e.g., 112 $\times$ 112) input video; and 2) most of the 3-D-convNets require a fixed-length input (i.e., v...
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关键词
Videos,Three-dimensional displays,Feature extraction,Convolution,Two dimensional displays,Computational modeling,Histograms
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