Cupertino, CA, United States of America

Jean Begaint


Average Co-Inventor Count = 11.0

ph-index = 1


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Jean Begaint in Image and Video Coding

Introduction

Jean Begaint is an accomplished inventor based in Cupertino, CA, known for his contributions to the field of image and video coding. He has developed innovative techniques that enhance the efficiency and effectiveness of coding methods, particularly through the integration of neural networks.

Latest Patents

Jean Begaint holds a patent for a "Hybrid neural network based end-to-end image and video coding method." This patent presents improved neural-network-based image and video coding techniques, including hybrid methods that utilize both traditional codec tools and neural-network-based tools. The techniques involve partitioning source frames, allowing for the selection of either host or neural-network-based tools per partition. Additionally, coding parameter decisions are constrained based on the partitioning and coding tool selection, while rate control for both host and neural network tools is combined. The multi-stage processing of neural network output employs a checkerboard prediction pattern, showcasing the innovative approach taken in this patent.

Career Highlights

Throughout his career, Jean Begaint has focused on advancing the field of image and video coding. His work has contributed to the development of more efficient coding standards, which are essential in today's digital landscape. His expertise in integrating neural networks with traditional coding methods has set him apart as a leading figure in this area.

Collaborations

Jean Begaint has collaborated with notable professionals in the field, including Alexandros Michael Tourapis. Their partnership has led to significant advancements in coding techniques, further enhancing the capabilities of image and video processing.

Conclusion

Jean Begaint's innovative work in hybrid neural network-based coding methods represents a significant advancement in the field of image and video technology. His contributions continue to influence the development of more efficient coding standards, paving the way for future innovations.

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