Sunil Gopal Koteyar

Title: Innovations by Sunil Gopal Koteyar

Introduction

Sunil Gopal Koteyar is a notable inventor based in Markham, Canada. He has made significant contributions to the field of video encoding and machine learning. With a total of two patents to his name, his work focuses on optimizing video processing techniques.

Latest Patents

Sunil's latest patents include "Identifying long term reference frame using scene detection and perceptual hashing." This patent describes methods and devices for encoding a video stream by utilizing perceptual hash values based on statistical values of video frames. The innovation allows for efficient encoding by referencing previously encoded frames that share similar perceptual characteristics.

Another significant patent is "Video encoding optimization for machine learning content categorization." This invention outlines systems and methods that leverage video encoding pre-processing to enhance machine learning content categorization. The system includes a motion vector unit that assesses frame changes and activates a machine learning engine only when necessary, thereby conserving computational resources.

Career Highlights

Sunil Gopal Koteyar is currently employed at ATI Technologies ULC, where he applies his expertise in video encoding and machine learning. His innovative approaches have contributed to advancements in video processing technologies.

Collaborations

Some of his notable coworkers include Mingkai Shao and Sonu Thomas, who collaborate with him on various projects within the company.

Conclusion

Sunil Gopal Koteyar's contributions to video encoding and machine learning demonstrate his commitment to innovation in technology. His patents reflect a deep understanding of the complexities involved in video processing, making him a valuable asset in his field.