Kai Li, Senior Engineer of Tencent now, has worked in Huawei for more than 7 years, is engaged in end to end video enhancement, multi-cameras/projetors stitching system. He once winned an individual Gold metal award with 100+ patents.
Tracks he partipates
Image quality is the main basis for measuring video services, especially video coding optimization and post-decoding processing. The human’s eyes are the final judges of image quality, the key point of industry cases is how to design objective image quality assessment that is able to reflect subjective feeling correctly. In addition, video quality assessment technology needs to keep paces with the times for meeting new service requirements and challenges constantly. The topic will focus on the latest developments of video quality assessment technology, which includes the researches of new scenes such as image distortion measures of visual perception, no-reference image quality assessment, support image quality assessment with cross resolution and multiscreen app, UHD, HDR, VR and so on.
Technology is one of key factors in the field of multimedia, you also need to take patent risk, ecological chain of upstream and downstream, technical heritage and so on in consideration. How to take the best technical solution based on business requirements and team technology?
Single video processing technology is generally difficult to completely solve all the problems of a certain scene. It can achieve the optimal result under certain circumstance. Therefore, it is significant to find and understand the technical edge of each single technology corresponding to unique application scenario, so that we can get the most out of each single technology by the algorithm of optimal combination. Thus, the product can earn more than what “1+1+1” equal to.