Summary: This work presents EgoScanning, a novel video fast-forwarding interface that helps users to find important events from lengthy first-person videos recorded with wearable cameras continuously. This interface is featured by an elastic timeline that adaptively changes playback speeds and emphasizes egocentric cues specific to first-person videos, such as hand manipulations, moving, and conversations with people, based on computer-vision techniques. The interface also allows users to input which of such cues are relevant to events of their interests.
Keita Higuchi, The University of Tokyo
Ryo Yonetani, Institute of Industrial Science, The University of Tokyo
Yoichi Sato, Institute of Industrial Science, The University of Tokyo