Development of Video Shooting Assistant System for Better Expression of Affective Information

Abstract

Authoring quality video contents is difficult since proper camerawork and editing are required for delivering nonverbal information which appropriately represents user's expressive intentions. Based on an experiment on non-expert users, we proposed the incremental and interactive shooting model. In this paper, we describe development of the system based on the model which compensates for user's lack of cinematographic knowledge or skills by relating affective information such as atmosphere or mood to shooting method. After selecting a specific type of atmosphere to express as nonverbal information, the system analyzes the shooting image and the camera operation including the camera angle and the zooming speed to assist the user. We integrated the interfaces of the system and downsized it. The experiments for system evaluation has indicated that the system assists the user to reflect user intention on the shot appropriately, therefore the proposed system enables the user to capture shots more appropriately and effectively to help acquire cinematographic knowledge or skills.