A PyTorch implementation of FCSN in paper "Video Summarization Using Fully Convolutional Sequence Networks"
Video Summarization Using Fully Convolutional Networks Mrigank Rochan, Linwei Ye, and Yang Wang European Conference on Computer Vision (ECCV), 2018
Link: http://www.cs.umanitoba.ca/~mrochan/projects/eccv18/fcsn.html
A preprocessed TVSum dataset (downsampled to 320 frames per video) is available here. There are 50 groups in the hdf5 file named video_1 to video_50 . Datasets in each group is as follows:
| name | description |
|---|---|
length |
scalar, number of video frames |
feature |
shape (320, 1024) |
label |
shape (320, ) |
change_points |
shape (n_segments, 2) stores begin and end of each segment |
n_frame_per_seg |
shape (n_segments) number of frames in each segment |
user_summary |
shape (20, length) summary from 20 users, each row is a binary vector |