Company Filing History:
Years Active: 2020-2021
Title: Jason Byron Yosinski: Innovator in Image Quality Assessment
Introduction
Jason Byron Yosinski is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of image quality assessment and neural networks. With a total of three patents to his name, Yosinski is recognized for his innovative approaches to analyzing visual quality in images.
Latest Patents
Yosinski's latest patents include the development of an image quality scorer machine. This machine accesses a candidate image to analyze its visual quality by generating a visual quality score. The process involves inputting the candidate image into a neural network trained to detect specific image features, ultimately producing a predicted similarity score. The visual quality score is derived from this predicted score, allowing for effective assessment of image quality.
Another notable patent is focused on leveraging JPEG discrete cosine transform coefficients in neural networks. This system classifies compressed images or predicts likelihood values associated with them. By partially decompressing JPEG image data, the system obtains blocks of discrete cosine transform coefficients. These blocks are then transformed and input into a neural network for analysis, making the process less computationally intensive.
Career Highlights
Yosinski is currently employed at Uber Technologies, Inc., where he continues to push the boundaries of technology in image processing. His work has garnered attention for its practical applications in various industries, particularly in enhancing image quality assessment.
Collaborations
Some of his notable coworkers include Ruoqian Liu and Thibault Doutre, who contribute to the innovative environment at Uber Technologies, Inc. Their collaborative efforts help drive advancements in the field of image analysis.
Conclusion
Jason Byron Yosinski stands out as an influential inventor in the realm of image quality assessment and neural networks. His patents reflect a commitment to improving how images are analyzed and understood, showcasing his innovative spirit and technical expertise.