Abstract
This proposal provides a technique to change an online video meeting background in real-time using deep learning. By changing the background video for participants of a meeting, the participants can protect their accuracy. The background-changing technique of this proposal may include a deep learning model for video semantic segmentation. One or more Spatio-Temporal Transformer Gated Recurrent Units (STGRUs) may be utilized to enhance classification accuracy and to add an optical flow into the model; thereby increasing calculation speed.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chen, Barrie; Qian, Iris; and Cai, Richard, "CHANGING AN ONLINE VIDEO MEETING BACKGROUND IN REAL-TIME USING DEEP LEARNING", Technical Disclosure Commons, (January 27, 2020)
https://www.tdcommons.org/dpubs_series/2898