Hi,
It’s my first time touching this area. I have a naive question about video classification
for a 3d conv model, one input data is like CFHH,e.g. 316256256, which is a 16 frame clip from a video. My question is how to sample the 16 frames for training? my understanding is to sample frames uniformly. for example, for a video with 160 frames, I can sample one frame every 10 frames, and for a 1600 frame video, every 100 frames. However, this means other 9/99 frames are wasted. I could come up with some ways to make use of other frames, such as randomly sampling a frame within the 10/100, frames.
I dont know what is the usual way to do it.  Thanks.