Singapore, Singapore

Qiang Chen


Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2014-2015

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2 patents (USPTO):Explore Patents

Title: Qiang Chen: Innovator in Image Processing Technology

Introduction

Qiang Chen is a notable inventor based in Singapore, SG. He has made significant contributions to the field of image processing, holding 2 patents that showcase his innovative approach to technology. His work focuses on enhancing the accuracy and efficiency of image processing and recognition devices.

Latest Patents

Chen's latest patents include an image processing device and method, as well as an image recognition device and method. The image processing device is designed to combine multiple contents, such as videos, with a storyline while minimizing viewer discomfort. It compares different content segments to detect the most similar partial content, generating relational information that merges these segments effectively.

The image recognition device aims to improve generic object recognition accuracy by mitigating the effects of position, size, and background clutter. It segments input images into various regions based on extracted meanings, computes feature data for each region, and checks for the presence of recognition-target objects using this data.

Career Highlights

Qiang Chen is currently associated with Panasonic Intellectual Property Corporation of America, where he continues to develop innovative technologies. His work has been instrumental in advancing image processing techniques that are widely applicable in various industries.

Collaborations

Chen collaborates with talented individuals such as Zhongyang Huang and Yang Hua, contributing to a dynamic team focused on pushing the boundaries of image processing technology.

Conclusion

Qiang Chen's contributions to image processing and recognition technologies highlight his role as a leading inventor in this field. His innovative patents reflect a commitment to enhancing user experience and accuracy in image-related applications.

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