This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Apple Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Srinidhi Aravamudhan in Video Matting Technology
Introduction
Srinidhi Aravamudhan is an accomplished inventor based in San Jose, CA. She has made significant contributions to the field of video technology, particularly in the area of low-latency video matting systems. Her innovative work is particularly relevant for applications in extended reality (XR) platforms.
Latest Patents
Srinidhi holds a patent for a novel low-latency video matting system. This system implements techniques that do not require guidance maps, allowing for efficient processing of video streams. The technology is designed to work with low-resolution auxiliary inputs, such as binary segmentation masks, to generate alpha mattes in near real-time. This capability enables the segmentation of objects of interest, like human hands, from captured images. The system can also operate solely on captured image streams, reducing computational costs while maintaining visual quality and user comfort. Once an alpha matte is generated, various alpha-aware graphical processing operations can be performed, including background replacement and synthetic shallow depth of field rendering.
Career Highlights
Srinidhi is currently employed at Apple Inc., where she continues to push the boundaries of video technology. Her work has garnered attention for its potential applications in various fields, including gaming, virtual reality, and film production.
Collaborations
Due to space constraints, the details of her collaborations will not be included.
Conclusion
Srinidhi Aravamudhan's innovative contributions to low-latency video matting technology highlight her expertise and commitment to advancing the field. Her work not only enhances user experience in XR platforms but also sets a new standard for computational efficiency in video processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
