Wei Teng

Title: Innovations of Wei Teng in Video Semantic Object Segmentation

Introduction

Wei Teng is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of video processing and object segmentation. His innovative work has led to the development of a unique method and apparatus that enhances the accuracy of video semantic object segmentation.

Latest Patents

Wei Teng holds a patent for an "Image guided video semantic object segmentation method and apparatus." This invention involves a sophisticated process that locates a target object in a sample image to obtain an object sample. The method extracts candidate regions from each frame of a video and matches these regions with the object sample to obtain a similarity rating. By ranking these ratings, the method selects a predefined number of high-rating candidate regions. It then preliminarily segments the foreground and background from these selected regions, constructs an optimization function, and solves it to obtain an optimal candidate region set. Finally, the preliminary foreground segmentation is propagated to the entire video, resulting in a comprehensive semantic object segmentation.

Career Highlights

Wei Teng is affiliated with Beihang University, where he continues to advance his research and development in the field of video technology. His work is recognized for its innovative approach and practical applications in various industries.

Collaborations

Wei Teng collaborates with notable colleagues, including Xiaowu Chen and Yu Zhang. Their combined expertise contributes to the advancement of research and innovation in their respective fields.

Conclusion

Wei Teng's contributions to video semantic object segmentation exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in the ability to process and analyze video content effectively.