Predicting Important Objects for Egocentric Video Summarization

Abstract

We present a video summarization approach for egocentric or “wearable” camera data. Given hours of video, the proposed method produces a compact storyboard summary of the camera wearer’s day. In contrast to traditional keyframe selection techniques, the resulting summary focuses on the most important objects and people with which the camera wearer interacts… (More)
DOI: 10.1007/s11263-014-0794-5

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