Company Filing History:
Years Active: 2001-2005
Title: Min Wu: Innovator in Network Resource Allocation and Data Hiding
Introduction
Min Wu is a prominent inventor based in Princeton, NJ (US), known for his contributions to network resource allocation and data hiding technologies. He holds 5 patents that reflect his innovative approach to solving complex problems in multimedia transmission and visual media security.
Latest Patents
One of his latest patents is titled "Dynamic network resource allocation using multimedia content features and traffic features." This method focuses on dynamically allocating network resources while transferring multimedia at variable bit-rates. It involves extracting content features from multimedia to determine renegotiation points and observation periods. Additionally, it combines second content features and traffic features in a neural network to predict the necessary network resources at these points.
Another significant patent is "Human visual model for data hiding." This invention provides a method and apparatus for embedding identification data within visual media. The process includes frequency masking to categorize image or video data into smooth and non-smooth regions. Edge detection further divides the non-smooth regions into texture and edge blocks, allowing for the application of varying watermark strengths based on the type of each block.
Career Highlights
Min Wu has worked with notable organizations such as Matsushita Electric Industrial Co., Ltd. and Princeton University. His experience in these institutions has significantly contributed to his expertise in multimedia technologies and data security.
Collaborations
Throughout his career, Min Wu has collaborated with talented individuals, including Hong Heather Yu and Bede Liu. These partnerships have fostered innovation and advancement in his research areas.
Conclusion
Min Wu's work in network resource allocation and data hiding showcases his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of multimedia systems and their complexities.
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