Julie Novak

Title: Innovations by Julie Novak

Introduction

Julie Novak is an accomplished inventor based in San Jose, CA. She has made significant contributions to the field of perceptual quality modeling and encoding metrics. With a total of 2 patents, her work has garnered attention in the tech industry, particularly at Netflix Inc., where she applies her expertise.

Latest Patents

Julie Novak's latest patents include "Quantifying perceptual quality model uncertainty via bootstrapping" and "Quantifying encoding comparison metric uncertainty via bootstrapping." The first patent describes a bootstrapping training subsystem that performs sampling operations on a training database with subjective scores. This system generates resampled datasets and utilizes machine learning to create various bootstrap perceptual quality models. These models help quantify the accuracy of perceptual quality scores for encoded video content, allowing developers to optimize encoding operations more reliably. The second patent focuses on an encoding metric comparison application that computes quality scores for different encoding configurations based on bootstrap quality models. This application generates a distribution of bootstrap values to quantify the accuracy of baseline values for encoding comparison metrics.

Career Highlights

Julie has established herself as a key player in her field through her innovative patents and contributions to video quality assessment. Her work at Netflix Inc. has positioned her at the forefront of advancements in perceptual quality modeling.

Collaborations

Some of her notable coworkers include Christos G Bampis and Zhi Li, who collaborate with her on various projects at Netflix Inc.

Conclusion

Julie Novak's contributions to the field of perceptual quality modeling and encoding metrics demonstrate her innovative spirit and dedication to advancing technology. Her patents reflect her commitment to improving video quality assessment, making her a valuable asset in the tech industry.