Budget-Constrained Online Video Summarisation Of Egocentric Video Using Control Charts

Despite the existence of a large number of approaches for generating summaries from egocentric video, online video summarisation has not been fully explored yet. We present an online video summarisation algorithm to generate keyframe summaries during video capture. Event boundaries are identified using control charts and a keyframe is subsequently selected for each event. The number of keyframes is restricted from above which requires a constant review and possible reduction of the cumulatively built summary. The new method was compared against a baseline and a state-of-the-art online video summarisation methods. The evaluation was done on an egocentric video database (Activity of Daily Living (ADL)). Semantic content of the frames in the video was used to evaluate matches with ground truth. The summaries generated by the proposed method outperform those generated by the two competitors.