This is a program that processes YouTube videos returned from a particular search query into individuals scenes of greyscale frames.
It is being developed for the Deep Frame Interpolation project by Rutgers IEEE ML/AI.
This algorithm predicts whether a frame starts a scene.
Let F be a series of mxn matrices of uint8 values describing a video such that F[i] is the ith frame of the video. Let g be a function that maps mxn matrices to a real value. Let threshold be a real value.
Then, a particular frame F[t] is the first frame of a new scene if and only if
g(F[t] - F[t-1]) >= threshold
We must define g and threshold in such a way that the previous condition is met. We will decide how to define g after reviewing the literature and decide threshold after testing various values on the input data.
MIT License
Copyright (c) 2017 Abhinav Madahar
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