I'm trying to find "keyframes" within a video using this paper however I'm a little new to machine learning and I'm stuck on the distance vector step. The goal is to calculate the distance vector between consecutive frames to detect a big context change indicating a keyframe. here's what I've done:
Using Googlenet pre-trained model I extracted a (1024,7,7) feature map, so a vector of 7x7 matrices for every other frame in the video.
Now I want to calculate the euclidean distance between two consecutive frames but I'm not sure how that would be.
My intuition is that the distance vector would also be (1024,7,7).
The last step would be to apply a "convolution of 4-window of last distance values with vector [0.1, 0.1, 0.1, 0.99]" on the distance vector?? I don't understand this step either.
Any help or guidance would be appreciated!