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For the Inventor, By the Inventor

Zurich, Switzerland

Filip Pavetic

This inventor holds 18 USPTO granted patents and 5 published patent applications and 3 EPO patents, primarily in Machine Learning Video Analysis. Top assignee: Google Inc.. Active years: 2018-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Filip Pavetic. Retrieved from https://idiyas.com/inventor/filip-pavetic

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

Calculating rank
USPTO Granted Patents = 18 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 14(Granted Patents)


Location History:

  • Zürich, CH (2019 - 2023)
  • Zurich, CH (2018 - 2024)

Company Filing History:

goldMedal18 out of 34,118 
 
Google Inc.
 patents

Years Active: 2018-2025

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Areas of Expertise:
Machine Learning
Video Screening
Abusive Content Detection
Self-Supervised Training
Object Detection
Video Fingerprinting
Spherical Video
High-Precision Scoring
Multi-Step Sequence Alignment
Two-Dimensional Videos
Stereoscopic Videos
18 patents (USPTO):Explore Patents
1. 12217142 - Using machine learning to detect which part of the screen includes embedded frames of an uploaded video (2025-02-04),
2. 12002257 - Video screening using a machine learning video screening model trained using self-supervised training (2024-06-04),
3. 11829854 - Using machine learning to detect which part of the screen includes embedded frames of an uploaded video (2023-11-28),
4. 11810353 - Methods, systems, and media for detecting two-dimensional videos placed on a sphere in abusive spherical video content (2023-11-07),
5. 11734908 - Randomly generated blobs to improve object-detection training for framed video content (2023-08-22),
6. 11093751 - Using machine learning to detect which part of the screen includes embedded frames of an uploaded video (2021-08-17),
7. 10936877 - Methods, systems, and media for detecting two-dimensional videos placed on a sphere in abusive spherical video content by tiling the sphere (2021-03-02),
8. 10909381 - Methods, systems, and media for detecting two-dimensional videos placed on a sphere in abusive spherical video content (2021-02-02),
9. 10904586 - Methods, systems, and media for detecting and transforming rotated video content items (2021-01-26),
10. 10614539 - Detecting multiple parts of a screen to fingerprint to detect abusive uploading videos (2020-04-07),
11. 10586111 - Using machine learning to detect which part of the screen includes embedded frames of an uploaded video (2020-03-10),
12. 10509965 - Methods, systems, and media for detecting two-dimensional videos placed on a sphere in abusive spherical video content by tiling the sphere (2019-12-17),
13. 10499097 - Methods, systems, and media for detecting abusive stereoscopic videos by generating fingerprints for multiple portions of a video frame (2019-12-03),
14. 10452891 - Multi-step sequence alignment (2019-10-22),
15. 10061987 - Differential scoring: a high-precision scoring method for video matching (2018-08-28),

Title: Filip Pavetic - Innovator in Machine Learning and Video Technology

Introduction

Filip Pavetic is a prominent inventor based in Zurich, Switzerland. With an impressive portfolio of 18 patents, he has made significant contributions to the field of machine learning and video technology. His innovative approaches have paved the way for advancements in video screening and image recognition.

Latest Patents

Among Filip's latest patents, two stand out for their ingenuity. The first patent involves using machine learning to detect embedded frames within uploaded videos. This system and method utilize a trained machine learning model to identify constituent images within composite images. The process includes inputting data to determine if a first image contains a composite image that includes a specific frame of embedded video.

The second patent describes a method for video content screening using a machine learning model that was trained with self-supervised learning techniques. This patent presents an automated training dataset generation process, which establishes a similarity between candidate frames from a training video and screening frames from a reference video. This has significant implications for improving video analysis and content screening technologies.

Career Highlights

Filip Pavetic currently works at Google Inc., where his expertise is harnessed to drive innovation in machine learning and video processing technologies. His role allows him to collaborate with other leading experts in the field, enhancing the company’s technology offerings.

Collaborations

Filip has collaborated with talented individuals such as Matthias Rochus Konrad and Hanna Pasula. Together, they contribute to exciting advancements in technology, leveraging their collective knowledge in machine learning and video technologies.

Conclusion

Filip Pavetic is a distinguished inventor with groundbreaking patents that enhance the capabilities of machine learning in video technology. His commitment to innovation and collaboration has positioned him as a key player in his field. As technology continues to evolve, Filip's contributions will undoubtedly have a lasting impact on the industry.

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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