Company Filing History:
Years Active: 2020-2025
Title: The Innovative Contributions of Yael Pritch Knaan
Introduction
Yael Pritch Knaan is a prominent inventor based in Mountain View, CA, known for her significant contributions to technology and media applications. With a total of 10 patents to her name, she has made remarkable strides in the field of machine learning and image processing. Her work continues to influence the way users interact with media items.
Latest Patents
One of her latest patents involves performing segmentation of objects in media items based on user input. In this innovative application, a media application receives user input indicating objects to be erased from a media item. The application translates this input into a bounding box and provides a crop of the media item to a segmentation machine-learning model. This model outputs a segmentation mask for the selected objects and a corresponding segmentation score that indicates the quality of the mask.
Another notable patent focuses on joint depth prediction from dual cameras and dual pixels. This method involves obtaining depth information from two sources to create a joint depth map that conveys respective depths for elements in a scene. A neural network is utilized to determine this joint depth map, which can then modify an image of the scene, such as partially blurring background portions based on the depth information.
Career Highlights
Yael Pritch Knaan is currently employed at Google Inc., where she continues to push the boundaries of technology through her innovative work. Her expertise in machine learning and image processing has positioned her as a key player in her field.
Collaborations
Throughout her career, Yael has collaborated with talented individuals such as Rahul Garg and Neal Wadhwa. These collaborations have further enhanced her contributions to the technology sector.
Conclusion
Yael Pritch Knaan's innovative patents and her work at Google Inc. highlight her significant impact on technology and media applications. Her contributions continue to shape the future of user interaction with media items.