VSUMM: A simple and efficient approach for automatic video summarization

In this paper, we propose an approach for video summarization (VSUMM). The video summaries are generated based on color attributes and visual features. A factorial experiment is designed to analyze the relative impact of the attributes. We demonstrate the validity of the VSUMM by testing it on a collection of videos from Open Video Project. We provide a comparison between results of the proposed summarization technique with Open Video storyboard. The obtained results indicate that the approach proposed is an alternative way to video summarization problem.