Interactive multi-scale structures for summarizing video content

Efficient video summarization leads to facilely exploring video content appropriate to the user's intention with low cognitive demand. In this paper, we present a novel approach for summarizing videos in the form of multi-scale structures that exhibit different video features at different scale levels and allow exploration of video contents with multi-scale interaction. The semantic relationship between structures is addressed and user intention is also considered and integrated in the summarization and interaction. This paper first introduces the concept of multi-scale structures for summarizing video content and describes three different types of structures that present important features at different scale levels. Furthermore, a continuous zooming interaction for browsing multi-scale structures is provided to facilitate video browsing. Finally, an elaborate user study is conducted showing that user performance on understanding and browsing videos is improved.