How to feed videos to a neural network
If you want to detect anomalies, my suggestion would be to build a classifier to classify individual frames of the video to determine whether that frame contains an anomaly.  You'll need to categorize what you count as an "anomaly" and arrange for labelled data in your training set.  But then you can extract all 6800 frames from the training videos, label each frame, and train a classifier on that training set of 6800 images.  At this point the problem is the same as building a classifier on individual images.  Then, given a test video, you apply the classifier to each frame to determine whether any of its frames contain an anomaly, and aggregate those results somehow (e.g., report the video as anomalous if the number of anomalous frames exceeds some threshold).