Munich, Germany

Max Dmitrichenko

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Apple Inc.. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Max Dmitrichenko: Innovator in Semantic Compression Technology

Introduction

Max Dmitrichenko is a notable inventor based in Munich, Germany. He has made significant contributions to the field of video data encoding, particularly through his innovative patent related to semantic compression for compute offloading. His work is instrumental in enhancing the efficiency of video data processing.

Latest Patents

Max Dmitrichenko holds a patent titled "Semantic compression for compute offloading." This patent describes methods and systems for semantic encoding by user equipment (UE). The technology focuses on determining expected power consumption for encoding video data that includes semantic features. These features represent the meaning of information in video frames. The process involves encoding video frames using a selected semantic representation based on the determined expected power consumption. The encoded video data is then transmitted, showcasing a significant advancement in video processing technology.

Career Highlights

Max Dmitrichenko is currently employed at Apple Inc., where he continues to innovate and develop cutting-edge technologies. His work at Apple has allowed him to be at the forefront of advancements in video encoding and compression techniques.

Collaborations

Max has collaborated with talented individuals such as Danila Zaev and Bernhard Raaf. These collaborations have contributed to the development of innovative solutions in the field of video data processing.

Conclusion

Max Dmitrichenko is a pioneering inventor whose work in semantic compression technology is shaping the future of video data encoding. His contributions are vital in improving the efficiency and effectiveness of video processing systems.

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