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Deep learning framework. Four frames were input into a pre-trained inception-v3 individually to obtain a 2048-length feature vector for each frame. Four vectors were concatenated into a feature matrix which was then input to the next components in the framework. A Long Short-term Memory followed by fully connected layers was trained to predict a binary classification of the presence of WMA in the video. CNN, convolutional neural network; RNN, recurrent neural network.
