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For the Inventor, By the Inventor

Austin, TX, United States of America

Christos G Bampis

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This inventor holds 24 USPTO granted patents and 5 published patent applications and 1 EPO patent, primarily in Video Quality Prediction. Top assignees: Netflix Inc., The University of Texas System, Intel Corporation. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christos G Bampis. Retrieved from https://idiyas.com/inventor/christos-g-bampis

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 24 

% Patents Active = 95.8

 

Average Co-Inventor Count = 2.7

ph-index = 2

Forward Citations = 17(Granted Patents)


Location History:

  • Athens, GR (2020 - 2021)
  • Austin, TX (US) (2017 - 2024)
  • Los Gatos, CA (US) (2022 - 2024)

Company Filing History:

goldMedal21 out of 544 
 
Netflix Inc.
 patents
silverMedal2 out of 5,633 
 
The University of Texas System
 patents
bronzeMedal1 out of 56,290 
 
Intel Corporation
 patents

Years Active: 2017-2026

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Areas of Expertise:
Video Streaming
Image Preprocessing
Perceptual Quality Model
Video Compression
Machine Learning
Temporal Distortions
User Experience Quality
Downscaling Techniques
Brightness Distortions
Color Components
Encoding Comparison
Panoramic Images
24 patents (USPTO):Explore Patents
1. 12739416 - Techniques for jointly training a downscaler and an upscaler for video streaming (2026-09-15),
2. 12555201 - Techniques for component-based image preprocessing (2026-02-17),
3. 12506890 - Techniques for reconstructing downscaled video content (2025-12-23),
4. 12456179 - Techniques for generating a perceptual quality model for predicting video quality across different viewing parameters (2025-10-28),
5. 12167000 - Techniques for predicting video quality across different viewing parameters (2024-12-10),
6. 12075104 - Quantifying perceptual quality model uncertainty via bootstrapping (2024-08-27),
7. 12058340 - Video compression technique using a machine learning system (2024-08-06),
8. 11948271 - Machine learning techniques for video downsampling (2024-04-02),
9. 11758148 - Device-consistent techniques for predicting absolute perceptual video quality (2023-09-12),
10. 11729396 - Techniques for modeling temporal distortions when predicting perceptual video quality (2023-08-15),
11. 11700383 - Techniques for modeling temporal distortions when predicting perceptual video quality (2023-07-11),
12. 11683545 - Machine learning techniques for determining quality of user experience (2023-06-20),
13. 11563986 - Machine learning techniques for component-based image preprocessing (2023-01-24),
14. 11557025 - Techniques for training a perceptual quality model to account for brightness and color distortions in reconstructed videos (2023-01-17),
15. 11532077 - Techniques for computing perceptual video quality based on brightness and color components (2022-12-20),

Title: The Innovative Journey of Christos G Bampis

Introduction: Christos G Bampis is a pioneering inventor based in Austin, Texas, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Christos G Bampis holds several patents in various technological domains, showcasing his versatility and ingenuity in creating novel solutions to complex problems.

Career Highlights: With a career spanning over two decades, Christos G Bampis has consistently pushed the boundaries of innovation, leading to significant advancements in the tech industry. His work has not only revolutionized existing technologies but has also paved the way for new developments in the field.

Collaborations: Throughout his career, Christos G Bampis has collaborated with leading tech companies, research institutions, and universities to further his research and bring his inventions to life. His collaborative spirit and dedication to innovation have earned him recognition as a visionary in the industry.

Conclusion: Christos G Bampis continues to inspire and drive innovation in the tech world, leaving a lasting impact on the industry and shaping the future of technology with his inventive spirit and relentless pursuit of excellence.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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