Deepti Ghadiyaram

Title: Deepti Ghadiyaram: Innovator in Video Quality Prediction

Introduction

Deepti Ghadiyaram is an accomplished inventor based in Austin, TX (US). She has made significant contributions to the field of video quality prediction, particularly in mobile video experiences. Her innovative approach addresses the challenges posed by network-induced impairments that affect viewer satisfaction.

Latest Patents

Deepti holds a patent for a method, system, and computer program product titled "Predicting a viewer's quality of experience." This invention focuses on predicting a viewer's quality of experience while watching mobile videos that may be affected by network issues. The patent outlines a model that takes various inputs, such as the length of a stall on a video, the number of stalls, the time since the last rebuffering event, and the reciprocal stall density. The model employs a machine-learning-based approach to capture the hysteresis effect, which reflects how a viewer's recent satisfaction or dissatisfaction influences their overall viewing experience.

Career Highlights

Deepti is affiliated with the University of Texas System, where she continues to advance her research and innovations. Her work has garnered attention for its practical applications in enhancing mobile video streaming experiences.

Collaborations

Deepti has collaborated with notable colleagues, including Alan C Bovik and Janice Pan, who contribute to her research endeavors.

Conclusion

Deepti Ghadiyaram's innovative work in predicting video quality experiences showcases her expertise and commitment to improving mobile video technology. Her contributions are paving the way for enhanced viewer satisfaction in the digital age.