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For the Inventor, By the Inventor

Mountain View, CA, United States of America

Mark Andrew Ruzon

This inventor holds 27 USPTO granted patents and 1 published patent application and 2 EPO patents, primarily in Image Processing. Top assignees: A9.com, Inc., Adobe, Inc.. Active years: 2008-2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mark Andrew Ruzon. Retrieved from https://idiyas.com/inventor/mark-andrew-ruzon

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

USPTO Granted Patents = 27 

% Patents Active = 59.3


Average Co-Inventor Count = 2.4

ph-index = 11

Forward Citations = 375(Granted Patents)


Company Filing History:

goldMedal24 out of 563 
 
A9.com, Inc.
 patents
silverMedal3 out of 7,297 
 
Adobe, Inc.
 patents

Years Active: 2008-2017

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Areas of Expertise:
Dynamic Map Synchronization
Image Matching
Text Recognition
Feature Vectors
Content Delivery
Image Query
Optical Flow
Color Conversion
Belief Propagation
Image Patches
Inlier Coverage
Orientational Consistency
27 patents (USPTO):Explore Patents
1. 9792368 - Dynamic map synchronization (2017-10-17),
2. 9721182 - Method and system for matching an image using normalized feature vectors (2017-08-01),
3. 9542765 - Method and system for placing an object on a user (2017-01-10),
4. 9530076 - Method and system for matching an image using normalized feature vectors (2016-12-27),
5. 9530069 - Method and system for detecting and recognizing text in images (2016-12-27),
6. 9104700 - Method and system for searching for information on a network in response to an image query sent by a user from a mobile communications device (2015-08-11),
7. 8994751 - Method and system for placing an object on a user (2015-03-31),
8. 8977072 - Method and system for detecting and recognizing text in images (2015-03-10),
9. 8958629 - Method and system for matching an image using image patches (2015-02-17),
10. 8825612 - System and method for delivering content to a communication device in a content delivery system (2014-09-02),
11. 8705848 - Method and system for encoding an image using normalized feature vectors (2014-04-22),
12. 8699828 - Image matching using inlier coverage (2014-04-15),
13. 8644610 - Method and system for searching for information on a network in response to an image query sent by a user from a mobile communications device (2014-02-04),
14. 8548279 - Image matching using orientational consistency (2013-10-01),
15. 8412687 - System and method for delivering content to a communication device in a content delivery system (2013-04-02),

Title: The Innovative Journey of Mark Andrew Ruzon

Introduction:

Mark Andrew Ruzon, a talented inventor based in Mountain View, CA, has made significant contributions to the field of technology through his groundbreaking innovations and patents.

Latest Patents:

Mark Andrew Ruzon's latest patents include cutting-edge technologies in artificial intelligence, machine learning, and computer vision, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights:

With a career spanning over two decades, Mark Andrew Ruzon has worked with prestigious tech companies, leading research institutions, and universities, honing his skills and expertise in developing revolutionary solutions to complex problems.

Collaborations:

Throughout his career, Mark Andrew Ruzon has collaborated with top-tier engineers, scientists, and researchers, fostering a culture of innovation and creativity that has resulted in groundbreaking inventions and patents that have shaped the technological landscape.

Conclusion:

Mark Andrew Ruzon's passion for innovation, coupled with his relentless drive to create cutting-edge solutions, has solidified his reputation as a visionary inventor in the tech industry, inspiring the next generation of innovators to push the boundaries of what is possible.

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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