Company Filing History:
Years Active: 2022
Title: Cecilia Rabess: Innovator in Adaptive Image Compression
Introduction
Cecilia Rabess is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of image processing, particularly through her innovative patent in adaptive image compression.
Latest Patents
Cecilia holds a patent for "Adaptive image compression using a quality metric." This method involves compressing an image based on a quality setting, assessing the quality of the compressed image using a quality metric, and determining if it falls within a specified quality range. If the quality is acceptable, the compressed image is stored. If not, the quality setting is modified, and the compression process is repeated until the desired quality is achieved. This innovative approach enhances the efficiency and effectiveness of image compression techniques.
Career Highlights
Cecilia is currently employed at Google Inc., where she applies her expertise in image processing and compression technologies. Her work at Google has allowed her to be at the forefront of technological advancements in this area.
Collaborations
Cecilia has collaborated with talented individuals such as Haoran Man and Jingyu Cui, contributing to a dynamic and innovative work environment.
Conclusion
Cecilia Rabess is a trailblazer in the field of adaptive image compression, with her patent showcasing her innovative spirit and technical expertise. Her contributions continue to influence advancements in image processing technology.