Company Filing History:
Years Active: 2025
Title: Innovations by Julie Anne Noble
Introduction
Julie Anne Noble is an accomplished inventor based in San Francisco, CA. She has made significant contributions to the field of video data analysis through her innovative patent. Her work focuses on enhancing event detection and validation using semantic analysis techniques.
Latest Patents
Julie Anne Noble holds a patent titled "Semantic analysis of video data for event detection and validation." This patent presents methods, systems, and computer programs designed to perform semantic analysis of video data. One of the key methods involves training a machine-learning model with text-image pairs to create a semantic model. This model generates text embeddings based on descriptions of events and image embeddings from video frames. The system calculates similarity values between these embeddings to determine event occurrences when the similarity exceeds a predetermined threshold. This innovative approach enables precise event detection by analyzing object relationships and attributes within video frames, thereby reducing false alarms and enhancing monitoring efficiency. Furthermore, these techniques can be applied to detect any event that can be described by human text or illustrated by image examples.
Career Highlights
Julie is currently employed at Spot AI, Inc., where she continues to develop her groundbreaking ideas. Her work has positioned her as a leader in the field of video data analysis, contributing to advancements in machine learning and event detection technologies.
Collaborations
Julie has collaborated with notable colleagues, including Nathaniel Paul Lee and Dunchadhn Hanley Broer Lyons. Their combined expertise fosters an environment of innovation and creativity, driving forward the development of advanced technologies.
Conclusion
Julie Anne Noble's contributions to the field of semantic analysis and video data are noteworthy. Her innovative patent and collaborative efforts highlight her commitment to enhancing event detection and validation technologies. Through her work, she continues to pave the way for future advancements in this critical area.