Liu Wenyin

Title: Liu Wenyin: Innovator in Image Retrieval and Web Navigation

Introduction

Liu Wenyin is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of image retrieval and web navigation. With a total of 3 patents, Liu's work focuses on enhancing user experience through innovative technological solutions.

Latest Patents

Liu Wenyin's latest patents include a "Statistical bigram correlation model for image retrieval." This invention improves the iterative results of content-based image retrieval (CBIR) by utilizing a bigram model to correlate relevance feedback. The process involves receiving multiple images in response to various image search sessions. Relevance feedback is then employed to assess the semantic relevance of the received images. A semantic correlation between pairs of images is estimated using respective bigram frequencies, which are derived from multiple search sessions where each image in a pair is semantically relevant.

Another notable patent is "User intention modeling for web navigation." This invention predicts a user's intention during network or World Wide Web navigation. Liu employs a statistical multi-step n-gram probability model to forecast a user's optimal information goal. This goal is determined based on a sequence of previously visited network content pieces and a globally optimized navigation path through that sequence.

Career Highlights

Liu Wenyin is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work has garnered attention for its practical applications and potential to enhance user interaction with digital content.

Collaborations

Liu has collaborated with notable colleagues, including Zheng Chen and Mingjing Li, who contribute to his innovative projects and research endeavors.

Conclusion

Liu Wenyin stands out as a key figure in the realm of technological innovation, particularly in image retrieval and web navigation. His patents reflect a commitment to improving user experience through advanced modeling techniques.