Training my own dataset for classification

Hello,
I have a project in which I want to use neural network for video classification (with two classes only).
My dataset is a 300 WMV videos of approximately 30 seconds each, size: 640 width and 480 length.

I'm not sure if there is any preprocessing that I should use in order to make my training process succeed.
Right now, I don't know how to split my videos into frames - and if I should use the preprocessing guidance that was given in the git explanations of Kinetics? or AVA? or something else?

If there is anyone here that had a similar problem and solved it, I would be happy to hear any detail.

Thank you in advance.