Beijing, China

Yufei Ma


Average Co-Inventor Count = 2.0

ph-index = 3

Forward Citations = 32(Granted Patents)


Company Filing History:


Years Active: 2005-2017

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3 patents (USPTO):Explore Patents

Title: Yufei Ma: Innovator in Video Characterization Technology

Introduction

Yufei Ma is a prominent inventor based in Beijing, China. He has made significant contributions to the field of video characterization technology. With a total of 3 patents to his name, Ma's work focuses on enhancing video classification and retrieval processes.

Latest Patents

One of Yufei Ma's latest patents is titled "Content-based characterization of video frame sequences." This innovative system and process facilitate video classification and retrieval, as well as motion detection applications. The technology characterizes a video sequence using a gray scale image, where pixel levels reflect the intensity of motion associated with specific regions in the video frames. The intensity of motion is defined through three characterizing processes: the perceived motion energy spectrum (PMES), which represents object-based motion intensity; the spatio-temporal entropy (STE), which indicates motion intensity based on color variation at each pixel; and the motion vector angle entropy (MVAE), which assesses motion intensity based on variations in motion vector angles.

Career Highlights

Yufei Ma is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative technologies. His work has garnered attention for its potential applications in various fields, including security and media.

Collaborations

Yufei Ma collaborates with notable professionals in his field, including his coworker Hong-Jiang Zhang. Their combined expertise contributes to the advancement of video characterization technologies.

Conclusion

Yufei Ma's contributions to video characterization technology demonstrate his innovative spirit and commitment to enhancing video processing capabilities. His patents reflect a deep understanding of motion detection and video classification, positioning him as a key figure in this technological domain.

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