Kebin Jia

Title: Kebin Jia: Innovator in Medical Imaging and Video Coding

Introduction

Kebin Jia is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of medical image processing and video coding. With a total of 5 patents to his name, his work continues to influence advancements in technology.

Latest Patents

One of Kebin Jia's latest patents is a near-infrared spectroscopy tomography reconstruction method based on neural networks. This method focuses on medical image processing, utilizing the Boltzmann radiation transmission equation to analyze the absorption and scattering processes of photons in tissue. By employing a BP neural network, this reconstruction method accurately determines the distribution of optical absorption coefficients with high computational efficiency.

Another notable patent is the visual perception characteristics-combining hierarchical video coding method. This innovative approach prioritizes visual interest areas in video content, analyzing both time and space visual characteristics. The method allocates video coding resources based on the priority of these areas, ensuring that the macroblock coding resources are satisfied preferentially for hierarchical coding.

Career Highlights

Kebin Jia is affiliated with the Beijing University of Technology, where he continues to engage in research and development. His work has garnered attention for its practical applications in both medical imaging and video technology.

Collaborations

Kebin has collaborated with notable colleagues, including Pengyu Liu and Jinchao Feng, contributing to the advancement of their respective fields.

Conclusion

Kebin Jia's innovative patents and contributions to medical imaging and video coding highlight his role as a leading inventor. His work not only enhances technological capabilities but also paves the way for future advancements in these critical areas.