Discovering important people and objects for egocentric video summarization

We developed an approach to summarize egocentric video. We introduced novel egocentric features to train a regressor that predicts important regions. Using the discovered important regions, our approach produces significantly more informative summaries than traditional methods that often include irrelevant or redundant information.