Brian Lynn Price

Pleasant Grove, UT, United States of America

Brian Lynn Price

This inventor holds 106 USPTO granted patents and 15 published patent applications, primarily in Image Segmentation (CPC class G06T2207-20081). Top assignees: Adobe, Inc., York University. Active years: 2010-2026.

USPTO Granted Patents = 106 

% Patents Active = 100.0

Average Co-Inventor Count = 3.5

ph-index = 12

Forward Citations = 521(Granted Patents)

Forward Citations (Not Self Cited) = 388(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Nesconset, NY (US) (2010)
  • Draper, UT (US) (2023)
  • San Jose, CA (US) (2013 - 2024)
  • Pleasant Grove, UT (US) (2019 - 2024)

Company Filing History:


Years Active: 2010-2026

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Areas of Expertise:
Image Segmentation
Alpha Mattes
Neural Networks
Interactive Matting
Video Segmentation
Chroma Keying
Deep Learning
Digital Images
Object Masks
Mask Generation
User Intent
Machine Learning
106 patents (USPTO):Explore Patents

Title: The Innovations of Brian Lynn Price: A Visionary in Digital Image Generation

Introduction

Brian Lynn Price, located in Pleasant Grove, UT, has made a significant impact in the field of digital imaging with an impressive portfolio of 91 patents. His pioneering work revolves around leveraging neural networks to enhance the way we interact with and generate images.

Latest Patents

Among Price's latest innovations are two notable patents. The first is a **Simulated Handwriting Image Generator**, which outlines techniques for generating digital images of simulated handwriting. This technology utilizes an encoder-decoder neural network trained on natural handwriting samples. It allows users to create simulated handwriting based on a specific style, capturing unique characteristics such as letter shape, size, and spacing. The resulting images mimic the visual appearance of natural handwriting, whether the text is identical or different from the original sample.

The second patent involves **Generating an Image Mask for a Digital Image** by employing a multi-branch masking pipeline with neural networks. This system classifies digital images, distinguishing between portrait and non-portrait images. By utilizing separate neural networks, it generates different mask portions for various regions of an image, blending boundaries with accuracy. This innovative approach simplifies the task of image segmentation and enhances the quality of digital images.

Career Highlights

Brian Lynn Price has cultivated his expertise in esteemed organizations such as Adobe, Inc. and Adobe Systems Inc. His tenure at these companies allowed him to explore and enhance digital imaging technologies, resulting in groundbreaking solutions that have influenced the industry significantly.

Collaborations

Throughout his career, Price has collaborated with notable individuals such as Scott David Cohen and Xiaohui Shen. These collaborations have played a crucial role in the development and refinement of his innovative projects, merging talents and skills to produce remarkable technological advancements.

Conclusion

Brian Lynn Price's contributions to the fields of digital imaging and neural networks showcase his ability to innovate and address complex challenges in technology. With a substantial number of patents and a history of work in prominent companies, his legacy continues to inspire future generations of inventors and innovators.

Profile summary based on public USPTO records.
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