Santa Barbara, CA, United States of America

Michael Gene Goebel

USPTO Granted Patents = 6 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

Loading Chart...
6 patents (USPTO):Explore Patents

Title: The Innovative Mind of Michael Gene Goebel

Introduction

Michael Gene Goebel is a prominent inventor based in Santa Barbara, California. He has made significant contributions to the field of technology, particularly in the areas of watermarking systems and image manipulation detection. With a total of six patents to his name, Goebel's work reflects a deep understanding of both theoretical and practical aspects of computer science.

Latest Patents

One of Goebel's latest patents is an end-to-end watermarking system. This invention includes methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for jointly training an encoder that generates a watermark and a decoder that decodes a data item encoded within the watermark. The training process involves obtaining a plurality of training images and data items. For each training image, a first watermark is generated using an encoder, followed by a second watermark created by tiling two or more first watermarks. The training image is then watermarked using the second watermark to generate a first error value, and distortions are added to the watermarked image. A distortion detector predicts these distortions, allowing for modifications to the distorted image. The modified image is decoded by the decoder to generate a predicted data item and a second error value. The training parameters of the encoder and decoder are adjusted based on the first and second error values.

Another notable patent focuses on detecting digital human face image manipulations. This invention describes systems, devices, methods, and instructions for detecting images generated by Generative Adversarial Networks (GANs). One embodiment involves receiving an image, generating co-occurrence matrices on the color channels of the image, and analyzing the image using a convolutional neural network trained to assess image features based on the generated co-occurrence matrices. The analysis determines whether the image is GAN-generated.

Career Highlights

Throughout his career, Michael Goebel has worked with several notable companies, including Mayachitra, Inc. and Google Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.

Collaborations

Some of his notable coworkers include Bangalore S Manjunath and Shivkumar Chandrasekaran. Their collaborative efforts have likely played a role in advancing the innovative projects they have worked on together.

Conclusion

Michael Gene Goebel is a distinguished inventor whose work in watermarking systems and image

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…