Shenzhen, China

Han Gao

USPTO Granted Patents = 38 

 

Average Co-Inventor Count = 5.2

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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38 patents (USPTO):Explore Patents

Title: Innovations by Han Gao: Pioneering Video Coding Technologies

Introduction

Han Gao, a notable inventor based in Shenzhen, China, has made significant contributions to the field of video coding technology. With a remarkable portfolio of 21 patents, his work continues to advance the standards and methodologies in the industry.

Latest Patents

Among his latest innovations is a patent for a "Method and apparatus of simplified geometric merge mode for inter prediction." This method enhances video encoding by obtaining parameters for geometric merge inter prediction modes and optimizing coding blocks through spatial partitioning strategies. Another notable patent is the "Method for chroma subsampled formats handling in machine-learning-based picture coding," which focuses on improving video encoding and decoding processes for chroma subsampled formats. This approach involves up-sampling chroma components to match luma resolutions, allowing for more efficient processing in machine-learning frameworks.

Career Highlights

Currently, Han Gao works at Huawei Technologies Co., Limited, where he plays a pivotal role in developing cutting-edge technologies in video coding. His expertise contributes to innovations that are essential in the rapidly evolving tech landscape, particularly in areas related to video compression and machine learning.

Collaborations

In his professional journey, Han has collaborated with talented individuals such as Semih Esenlik and Anand Meher Kotra. Together, they push the boundaries of research and development, fostering an environment of creativity and technical excellence at Huawei.

Conclusion

Han Gao continues to be a driving force in the field of video technology, demonstrating a commitment to innovation through his extensive patent portfolio and collaborative efforts. His inventions not only enhance existing systems but also pave the way for future advancements in video coding and machine learning applications.

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