Mountain View, CA, United States of America

Jianyu Wang


Average Co-Inventor Count = 6.0

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2021

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: Innovations by Jianyu Wang in Automated Video Classification

Introduction

Jianyu Wang is an accomplished inventor based in Mountain View, CA (US). He has made significant contributions to the field of automated video classification, holding a total of 4 patents. His work focuses on developing systems and methods that enhance the efficiency and accuracy of video analysis.

Latest Patents

Jianyu Wang's latest patents include innovative systems and methods for automated video classification. One of his patents describes systems, methods, and non-transitory computer-readable media that can receive a set of video frames associated with a video. For each video frame, a plurality of interest points are identified based on an interest point detector. The system determines whether a video frame depicts the same static image as the next video frame in the set based on the identified interest points. Another patent outlines a method where dynamic regions in each video frame are filtered out, representing areas with a threshold level of detected movement. This method also includes a determination of whether the video frame comprises synthetic overlaid text based on a machine learning model.

Career Highlights

Jianyu Wang is currently employed at Facebook, Inc., where he continues to push the boundaries of video classification technology. His work has been instrumental in advancing the capabilities of automated systems in processing and analyzing video content.

Collaborations

Some of Jianyu Wang's notable coworkers include Lei Huang and Guangshuo Liu, who contribute to the innovative environment at Facebook, Inc.

Conclusion

Jianyu Wang's contributions to automated video classification demonstrate his expertise and commitment to innovation in technology. His patents reflect a deep understanding of video analysis and machine learning, positioning him as a key figure in this evolving field.

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