Ryo Shimamura, Feng Qi, Yuki Koyama, Takayuki Nakatsuka, Satoru Fukayama, Masahiro Hamasaki, Masataka Goto, Shigeo Morishima

Audio-Visual Object Removal in 360-Degree Videos

Computer Graphics International (CGI) 2020


We present a novel concept audio-visual object removal in 360-degree videos,
in which a target object in a 360-degree video is removed in both the visual and auditory domains synchronously Download iTunes backup. Previous methods have solely focused on the visual aspect of object removal using video inpainting techniques, resulting in videos with unreasonable remaining sounds corresponding to the removed objects 스티키노트.
We propose a solution which incorporates direction acquired during the video inpainting process into the audio removal process. More specifically, our method identifies the sound corresponding to the visually tracked target object and then synthesizes a three-dimensional sound field by subtracting the identified sound from the input 360-degree video 윈도우 7 서비스팩 2. We conducted a user study showing that our multi-modal object removal supporting both visual and auditory domains could significantly improve the virtual reality experience, and our method could generate sufficiently synchronous, natural and satisfactory 360-degree videos 워드프레스 미디어.