Kaohsiung, Taiwan

Gwo-Long Li

This inventor holds 1 USPTO granted patent. Top assignee: National Yang Ming Chiao Tung University. Active years: 2014.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gwo-Long Li. Retrieved from https://idiyas.com/inventor/gwo-long-li-6yvh7sie

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

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Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Gwo-Long Li: Innovator in Scalable Video Coding

Introduction

Gwo-Long Li is a notable inventor based in Kaohsiung County, Taiwan. He has made significant contributions to the field of video coding, particularly through his innovative methods that enhance motion estimation processes.

Latest Patents

Gwo-Long Li holds a patent for a "Selective motion vector prediction method, motion estimation method and device thereof applicable to scalable video coding system." This invention discloses a selective motion vector prediction method that includes steps for performing inter prediction and inter-layer motion prediction. The method aims to reduce memory access during the coding process, thereby lowering costs and power consumption.

Career Highlights

Gwo-Long Li is affiliated with National Yang Ming Chiao Tung University, where he continues to advance research in scalable video coding systems. His work is recognized for its practical applications in improving video quality and efficiency.

Collaborations

Gwo-Long Li has collaborated with notable colleagues such as Hsiao-Shan Huang and Tian-Sheuan Chang, contributing to various research projects and innovations in the field.

Conclusion

Gwo-Long Li's contributions to scalable video coding through his patented methods demonstrate his commitment to innovation and efficiency in technology. His work continues to influence advancements in video processing systems.

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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