Wei Gao

Title: Wei Gao - Innovator in Video Coding Optimization

Introduction

Wei Gao is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of video coding through his innovative approaches. His work focuses on optimizing rate-distortion performance using machine learning techniques.

Latest Patents

Wei Gao holds a patent titled "Method for initial quantization parameter optimization in video coding." This patent introduces a machine learning-based initial quantization parameter (QP) prediction method that effectively optimizes rate-control (RC) performance. The proposed framework builds learning labels aimed at maximizing RC performance, proving to be more effective than traditional QP determination methods that only consider the sum of the absolute transformed difference (SATD) complexity. By utilizing target bits per pixel for remaining frames as sample data, the method enhances prediction accuracy, reflecting real-time requirements on QP levels. Additionally, a clipping and decision approach is introduced to facilitate fast QP adaptation and ensure quality smoothness.

Career Highlights

Wei Gao is currently employed at Tfi Digital Media Limited, where he continues to develop innovative solutions in video coding. His expertise in machine learning and video processing has positioned him as a valuable asset in the industry.

Collaborations

Wei has collaborated with notable colleagues, including Sam Tak Wu Kwong and Chi Keung Fong, contributing to advancements in their shared field of expertise.

Conclusion

Wei Gao's innovative work in video coding optimization showcases his commitment to enhancing technology through machine learning. His contributions are paving the way for more efficient video processing methods.