Yijuan Lu

Title: Yijuan Lu: Innovating Image Retrieval and Document Genre Classification

Introduction

Yijuan Lu, an accomplished inventor located in San Marcos, Texas, has made significant contributions to the fields of image retrieval and document classification. With two patents to his name, he has developed innovative systems that enhance the efficiency and accuracy of processing visual data.

Latest Patents

Yijuan Lu's latest patents reflect his expertise in developing cutting-edge technologies. One of his notable inventions is the "Geometric coding for billion-scale partial-duplicate image search." This invention addresses the limitations of the traditional Bag-of-Visual-Words model, which struggles with capturing the geometric context among local features in images. Lu's novel geometric coding algorithm effectively encodes the spatial relationships of local features through geometric square coding and geometric fan coding. This method not only boosts computational efficiency but also improves the detection of duplicate images subject to rotation, scale changes, occlusion, and background clutter.

Another important patent from Lu is the "System and method for identifying document genres." This system focuses on generating genre models to classify document images effectively. By segmenting document images into tiles while identifying specific features, the system utilizes trained genre classifiers to determine the genres associated with each document image. This approach significantly enhances the ability to categorize documents accurately.

Career Highlights

Yijuan Lu has collaborated with notable organizations throughout his career, including Fuji Xerox Co., Ltd. and the University of Texas System. His work in these leading institutions has allowed him to innovate and apply his skills in real-world applications, driving forward the boundaries of technology in his fields of expertise.

Collaborations

Throughout his career, Lu has worked alongside talented colleagues including Francine R Chen and Matthew L Cooper. Such collaborations have facilitated knowledge sharing and have likely contributed to the advancements seen in his innovative projects.

Conclusion

In summary, Yijuan Lu’s contributions to the fields of image retrieval and document genre classification position him as a prominent inventor. His patented innovations highlight his ability to solve complex problems within the technology landscape, making significant strides towards more efficient systems for processing and classifying visual data. As he continues to explore new frontiers in innovation, his work will undoubtedly have lasting impacts in these essential areas.