I'm trying to do shot boundary detection using SVM's.
I'm differentiating between 3 shots, cut, fade and dissolve + (normal frames).
I had used two features, shannon's entropy and variance, it gave me 40/635 boundary frames correctly predicted. That is poor accuracy.
What features can I use to improve this?
Training videos: 2 videos from TRECVID (~50000 frames) Test Videos: 1 Video TRECVID (~13000 frames)
So one must be careful in choosing features.
So I fixed a problem that was occuring, if anyone comes across this post, then the above features are okay and will give you pretty good results for CUT detection.