Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks https://arxiv.org/abs/1705.03281
SBD is shot boundary detection for scene transition: This code is based on caffe and the c3d models from dutran (https://github.com/facebook/C3D) The contribution of this work is in creating a data set for shot boundary detection: normal scenes and sharp and gradual transitions. Similar to c3d code you can generate features using feature_extraction_frm.sh
After features being generated you should run two scripts:
- classifySequences.m
- evaluate.m
After evaulate you will have files for transition results that you could take as is or do whatever postprocessing you want. In our paper we did non-maxima supression for overlapping segments and histogram of color similarity check, in order to reduce the false positives.