This inventor holds 1 USPTO granted patent. Top assignee: Mitsubishi Electric Research Laboratories, Inc.. Active years: 2003.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2003
Title: Inventor Spotlight: Dimitris Margaritis
Introduction
Dimitris Margaritis is an accomplished inventor based in Pittsburgh, PA. With a focus on innovations in image retrieval technology, he has made significant contributions to the field, particularly through his patented methodology for enhancing image databases.
Latest Patents
Margaritis holds a patent for a "Method for image retrieval with multiple regions of interest." This innovative approach involves separating and filtering images to extract specific color and texture features. By partitioning these features into multiple blocks, the method estimates joint distributions of color and texture for each block. The estimated joint distributions are then stored, enabling efficient retrieval of images through comparative analysis.
Career Highlights
Currently, Dimitris is affiliated with Mitsubishi Electric Research Laboratories, Inc., where he continues to push the boundaries of research in image processing technologies. His commitment to innovation is evident in his patent, which showcases his technical expertise and visionary thinking in the field.
Collaborations
Dimitris has worked alongside notable colleagues such as Baback Moghaddam and Henning Biermann. These collaborations have helped drive advancements in research projects and fostered a stimulating environment where innovative ideas can thrive.
Conclusion
In conclusion, Dimitris Margaritis stands out as a key player in the realm of image retrieval technology. His contributions through his patented methods reflect his dedication to innovation and his role in shaping the future of data processing and retrieval systems. As he continues his work at Mitsubishi Electric Research Laboratories, his influence in the industry is certain to grow.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
