ARVideoCam: An AR-Guided Method to Assist Novice Users in Shooting Video

Using mobile phones for photography and videography has become increasingly prevalent. However, novice users often struggle with mastering professional photography techniques and lack the necessary skills for precise camera movement. To address this issue, we propose ARVideoCam, a video shooting guidance method based on augmented reality (AR) designed to assist novice users in accurately controlling camera movements and learning photography skills through imitating high-quality video shooting. ARVideoCam consists of three layers: the extraction layer, the analysis layer, and the AR layer. The extraction layer of the model captures the subject's motion in the sample video, and the analysis layer converts the subject's motion into camera motion, which is then transformed into AR-based guidance in the AR layer. The user study results indicate that AR guidance significantly enhances novice users' ability to imitate sample videos across different types of camera motion, resulting in more efficient and precise camera movements during shooting. This study offers valuable inspiration for the research on AR-assisted video shooting and enhancing video shooting skills among novice users.