Our paper has been accepted to ACCV 2016.
- Video Summarization using Deep Semantic Features
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, and Naokazu Yokoya
Thank you very much for all authors!
This work proposes a new video summarization approach that uses deep features of a video to get its semantics. By training a deep neural network with sentences, our deep features encode “sentence-level” semantics of the video, which boosts the performance of a standard, clustering-based video summarization approach.
See you at ACCV 2016 at Taipei!