Beijing, China

Ke-Yan Liu


Average Co-Inventor Count = 4.1

ph-index = 3

Forward Citations = 18(Granted Patents)


Location History:

  • Beijing, CN (2013 - 2016)
  • Beijing, CH (2016)

Company Filing History:


Years Active: 2013-2016

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4 patents (USPTO):Explore Patents

Title: Ke-Yan Liu: Innovator in Image Clustering and Visual Media Retrieval

Introduction

Ke-Yan Liu is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of image clustering and visual media retrieval. With a total of 4 patents to his name, Liu's work has advanced the way we process and retrieve visual information.

Latest Patents

Liu's latest patents include innovative methods and systems for incremental image clustering. One of his notable inventions involves identifying candidate nodes from evaluated leaf image cluster nodes on an image cluster tree based on the similarity between a new image's features and the average features of these nodes. This method allows for the efficient insertion of new images into the most-similar node, enhancing the clustering process. Additionally, he has developed methods for retrieving visual media, which involve receiving text queries and identifying visual media based on metadata correspondence. This process includes selecting keyframes and grouping similar instances into clusters, ultimately associating target content with the most relevant cluster.

Career Highlights

Ke-Yan Liu is currently employed at Hewlett-Packard Development Company, L.P. His work at this esteemed organization has allowed him to collaborate on various innovative projects that push the boundaries of technology in image processing and retrieval.

Collaborations

Some of Liu's notable coworkers include Lei Wang and Liang Tang. Their collaborative efforts contribute to the advancement of technology in their respective fields.

Conclusion

Ke-Yan Liu's contributions to image clustering and visual media retrieval demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving how we interact with visual information, making him a significant figure in the field.

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