Xiaoguang Rui

Title: The Innovations of Xiaoguang Rui: Pioneering Image Annotation Technologies

Introduction

Xiaoguang Rui, based in Hefei, China, is an accomplished inventor with a portfolio of three patents that center around advanced image annotation techniques. His work focuses on utilizing statistical approaches and graph modeling to enhance how images are indexed and retrieved on the web, contributing significantly to the field of computer vision.

Latest Patents

One of Rui's notable patents is titled "Statistical Approach to Large-Scale Image Annotation." This patent describes techniques that compile visual features and textual information from numerous images. The innovative method involves hashing these visual features and clustering images based on their hash values, ultimately leading to the construction of statistical language models for accurate image annotation.

Another significant patent is "Bipartite Graph Reinforcement Modeling to Annotate Web Images." This patent outlines systems and methods that implement bipartite graph reinforcement modeling to identify relevant annotations for web images. Through this innovation, the annotated web images can be indexed and presented to users efficiently in response to their search queries, tailoring the content to the specific annotations identified.

Career Highlights

Xiaoguang Rui is an integral member of Microsoft Technology Licensing, LLC, where he drives advancements in image annotation technologies. His contributions to the company reflect a commitment to pushing the boundaries of how machines understand and process visual data.

Collaborations

Throughout his career, Rui has collaborated with esteemed colleagues such as Mingjing Li and Wei-Ying Ma. These partnerships have fostered a creative environment where innovative ideas can thrive, and multidisciplinary approaches to complex problems can be developed.

Conclusion

Xiaoguang Rui stands out as a key inventor in the realm of image annotation, with a focus on enhancing user experience through novel technological solutions. His patents not only reflect his ingenuity but also signify important progress in the field of computer vision, paving the way for future innovations.