no code implementations • 31 Aug 2017 • Zhong Ji, Kailin Xiong, Yanwei Pang, Xuelong. Li
This paper addresses the problem of supervised video summarization by formulating it as a sequence-to-sequence learning problem, where the input is a sequence of original video frames, the output is a keyshot sequence.
Ranked #4 on Video Summarization on TvSum (using extra training data)