Location History:
- Raleigh, NC (2015)
- Raleigh, NC (US) (2012 - 2017)
Company Filing History:
Years Active: 2012-2017
Title: Heather Dunlop: Innovator in Video Classification Technologies
Introduction
Heather Dunlop is a prominent inventor based in Raleigh, NC, known for her contributions to video classification technologies. With a total of 5 patents, she has made significant strides in the field of video content analysis. Her innovative approaches have paved the way for advancements in how videos are classified and understood.
Latest Patents
One of her latest patents is titled "Systems and methods for semantically classifying and normalizing shots in video." This patent describes a comprehensive system for classifying videos based on their content. The process involves extracting a subset of frames from a video file that contains multiple frames. Frames that are too dark, blurry, or otherwise unsuitable for classification are discarded. Material classification scores are calculated for the remaining frames, which describe the type of material content likely included in each frame. These scores are then used to generate material arrangement vectors that represent the spatial arrangement of material content. The vectors are classified to produce a scene classification score vector for each frame. The results are averaged across all frames to associate the video file with predefined scene categories related to the overall types of scene content.
Career Highlights
Throughout her career, Heather has worked with notable companies such as TiVo Corporation and Digitalsmiths Corporation. Her experience in these organizations has contributed to her expertise in video technology and classification systems.
Collaborations
Heather has collaborated with various professionals in her field, including her coworker Matthew G. Berry. Their joint efforts have further enhanced the development of innovative video classification solutions.
Conclusion
Heather Dunlop's work in video classification technologies exemplifies her innovative spirit and dedication to advancing the field. Her patents and career achievements highlight her significant contributions to understanding and classifying video content.