Beijing, China

Jinwen Zan

This inventor holds 2 USPTO granted patents. Top assignee: Velos Media, LLC. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jinwen Zan. Retrieved from https://idiyas.com/inventor/jinwen-zan-y9oh3843

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 50.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Jinwen Zan: Innovator in Video Data Encoding

Introduction

Jinwen Zan is a notable inventor based in Beijing, China. He has made significant contributions to the field of video data encoding and decoding. His innovative work has led to the development of a unique method that enhances the efficiency of video data processing.

Latest Patents

Jinwen Zan holds a patent for "Significance map encoding and decoding using partition selection." This patent describes methods of encoding and decoding video data, where significance maps are encoded and decoded using non-spatially-uniform partitioning. The process involves associating bit positions within each part with a given context. The patent outlines example partition sets and processes for selecting from predetermined partition sets, as well as communicating the selection to the decoder.

Career Highlights

Jinwen Zan is currently employed at Velos Media, LLC, where he continues to work on innovative solutions in video technology. His expertise in encoding and decoding methods has positioned him as a valuable asset in his field.

Collaborations

Jinwen has collaborated with notable colleagues, including Gergely Ferenc Korodi and Dake He. These partnerships have contributed to the advancement of their shared projects and innovations.

Conclusion

Jinwen Zan's work in video data encoding represents a significant advancement in the field. His innovative methods and collaborations continue to influence the industry positively.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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