Guoxin Jin

Title: Guoxin Jin: Innovator in Image and Video Coding

Introduction

Guoxin Jin is a notable inventor based in Chicago, IL (US). He has made significant contributions to the field of image and video coding, particularly through his innovative patent.

Latest Patents

Guoxin Jin holds a patent for a method of perceptually coding images and videos. This patent involves a process where blocks in pixel images are template matched to select candidate blocks and weights based on structural similarity and perceptual distortion. The perceptual distortion is determined by a just-noticeable-distortion (JND). A filter is utilized to output a prediction residual between the block and the candidate blocks. This prediction residual is then transformed and quantized to produce a quantized prediction residual using the JND. The matching and quantizing processes are optimized jointly using the perceptual distortion. Finally, the quantized prediction residual and the weights are entropy encoded into a bit-stream for later decoding.

Career Highlights

Guoxin Jin is currently employed at Mitsubishi Electric Research Laboratories, Inc. His work focuses on advancing technologies related to image and video processing, which has implications for various applications in the digital world.

Collaborations

Throughout his career, Guoxin Jin has collaborated with esteemed colleagues, including Robert Cohen and Anthony Vetro. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Guoxin Jin is a prominent figure in the realm of image and video coding, with a patent that showcases his innovative approach to perceptual coding. His contributions continue to influence advancements in technology and digital media.