This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Mark John Keller: Innovator in Image Data Compression
Introduction
Mark John Keller is a notable inventor based in Sammamish, WA (US). He has made significant contributions to the field of image data compression, holding a total of 2 patents. His work focuses on enhancing the efficiency and quality of image encoding and decoding processes.
Latest Patents
Keller's latest patents include innovative systems and methods for repairing pixel blocks in image data that have been encoded using lossy compression. One of his patents, titled "Lossy Block Repair," describes a method for re-encoding pixel blocks in subsequent frames using lossless compression when certain conditions are met. This approach aims to improve the visual quality of images that have undergone lossy compression.
Another significant patent is the "Hybrid Codec," which outlines a system for compressing and decompressing image data using both lossy and lossless methods. This patent details a process for determining the appropriate type of compression based on the presence of edges within pixel blocks, thereby optimizing the encoding process.
Career Highlights
Mark John Keller is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in image processing. His work has contributed to advancements in how images are compressed and transmitted, making them more efficient for various applications.
Collaborations
Throughout his career, Keller has collaborated with notable colleagues, including Russell Allen Brown and Paolo Maggi. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies in the field of image data.
Conclusion
Mark John Keller's contributions to image data compression through his patents and work at Amazon Technologies, Inc. highlight his role as an influential inventor in this domain. His innovative approaches continue to shape the future of image processing technologies.
