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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06322-x
Abstract: Combining convolutional neural networks (CNNs) and recurrent neural networks (RNNs) produces a powerful architecture for video classification problems as spatial–temporal information can be processed simultaneously and effectively. Using transfer learning, this paper presents a comparative…
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Keywords:
video;
neural networks;
extraction method;
keyframe extraction ... See more keywords