Over the Internet, video content has consumed more than 80% of bandwidth. In many countries like China, the number of users watching long- or short-form videos has exceeded 600 millions. However, the high-speed mobile access network, congested backboned network, and under-construction edge networks cannot fulfill the demands in video streaming from Internet users. Hence, it is still challenging to improve the quality of experience of watching a video online. To address the problem, it is promising to have artificial intelligence (AI) techniques for enhancing the video streaming services, e.g., to predict the popularity of video content in the future, to characterize the dynamics of network bandwidth, and to analyze the user behaviors. Key enabling techniques include video content caching, dynamic bit rate selection, super-resolution, object detection, which support a better quality of experience for video content consumers in the era of 5G and beyond.
Webinar 1- Nurturing an AI ecosystem to foster AI talents (11/24): https://zoom.us/webinar/register/WN_eMnRHbF4Rb2P3lOqEUwdew
Webinar 2- Brief Introduction to Psychology *hybrid class* (11/25): https://zoom.us/webinar/register/WN_zs1h4_euSgW7GChhw-7i0A
Webinar 3- Data Driven Biomedical Discovery (11/26):
Webinar 4- Improving Quality of Experience for Video Streaming with AI at Network Edge (11/27):