Ravi Kumar Boddeti

Title: Innovations of Ravi Kumar Boddeti

Introduction

Ravi Kumar Boddeti is a prominent inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of video encoding and machine learning, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is focused on the "Machine learning of encoding parameters for a network using a video encoder." This invention involves using machine learning models to predict encoding parameter values for streaming video. By applying feedback from the encoded video, the machine learning models can optimize the encoding process, enhancing the quality of video streaming. The training of these models is based on actual encoded parameter values, utilizing reinforcement learning techniques to improve performance.

Another notable patent is the "Adaptive filtering mechanism to remove encoding artifacts in video data." This method involves identifying edge and flat pixels in video frames to quantify and reduce ringing artifacts. By adaptively filtering the pixels around edges and blending outputs from spatial and temporal filtering, the invention aims to enhance video quality by minimizing artifacts caused by compression.

Career Highlights

Ravi Kumar Boddeti is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence. His work at Nvidia allows him to apply his innovative ideas in a cutting-edge environment, contributing to advancements in video technology.

Collaborations

He has collaborated with notable coworkers such as Niranjan Avadhanam and Vinayak Jayaram Pore, further enriching his work through teamwork and shared expertise.

Conclusion

Ravi Kumar Boddeti's contributions to video encoding and machine learning reflect his dedication to innovation in technology. His patents not only enhance video quality but also demonstrate the potential of machine learning in optimizing encoding processes.