Augmented Reality Based Video Shooting Guidance for Novice Users

Author:

Li Jiefeng1,She Yingying1,Liu Fang1,Yu Chun2,Wang Xiaoli1,Xu Yuxin3

Affiliation:

1. Xiamen University, Xiamen, China

2. Tsinghua University, Beijing, China

3. University of Toronto, Toronto, ON, Canada

Abstract

Using mobile phones to shoot video is considerably common in our daily life. However, novice users have difficulty in controlling the camera properly due to lack of professional knowledge and skill. In this paper, in order to assist novice users in learning and imitating professional camera movement from watching high quality sample videos, we propose ARCAM, an Augmented Reality (AR) based video shooting guidance method for novice users. Using AR, we visualized the concept of camera movement and embedded it into natural scene to provide real-time guidance. User can follow the guidance while shooting video by matching a calibration frame to the guidance, to achieve the desired camera movement. We conducted a user study comparing the effectiveness of ARCAM to a traditional static arrow guidance. Results showed that ARCAM was more effective in helping users understand the camera work in the sample videos and move the camera with more accuracy. Our work provides insights on designing mobile video shooting application and suggests that AR has great potential in assisting novice video shooters.

Funder

Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University

Fujian Science and Technology Program Guiding Project

the Natural Science Foundation of Fujian Province of China

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

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