Video Editing Based on Behaviors-for-attention

In desktop manipulations such as cooking or assembly instruction videos, a performer often draws the viewers’ attention to significant portions of the video’s content by means of a specific set of physical behaviors. We verified the efficacy of videos edited based on those behaviors by observing television programs and simulating them with the use of our editing scheme. In this paper, we first discuss the typical behaviors commonly shown in TV programs, and statistically describe the relationships between certain types of shot changes. We then propose an editing method using those behaviors, and demonstrate that our method generates videos whose quality is close to that of some of television programs. Moreover, we demonstrate the usability of our online editing system in experiments involving actual scenes.