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For the Inventor, By the Inventor

Redwood City, CA, United States of America

Peter Verplaetse

This inventor holds 18 USPTO granted patents, primarily in Computer Vision. Top assignees: Ambarella, Inc., Ambarella International LP, Other. Active years: 2016-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Peter Verplaetse. Retrieved from https://idiyas.com/inventor/peter-verplaetse

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

USPTO Granted Patents = 18

% Patents Active = 100.0

Average Co-Inventor Count = 1.8

ph-index = 4

Forward Citations = 121(Granted Patents)


Company Filing History:

goldMedal11 out of 178 
 
Ambarella, Inc.
 patents
silverMedal6 out of 195 
 
Ambarella International LP
 patents
bronzeMedal1 out of 834,570 
Other
 patents

Years Active: 2016-2022

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Areas of Expertise:
Motion Estimation
Video Coding
Vector Processing
Convolution
Dot Product
Inter-prediction
Tree-coded Compression
H.264 Decoder
Scheduler
Window Sums
18 patents (USPTO):Explore Patents
1. 11490114 - Shared motion estimation cost metrics for overlapping units (2022-11-01),
2. 11375225 - Interleaved video coding pipeline (2022-06-28),
3. 11216307 - Scheduler for vector processing operator readiness (2022-01-04),
4. 10877811 - Scheduler for vector processing operator allocation (2020-12-29),
5. 10846364 - Generalized dot product for computer vision applications (2020-11-24),
6. 10810012 - Computer vision implementing calculations of window sums in overlapping windows (2020-10-20),
7. 10620876 - Convolution calculations in multiple dimensions (2020-04-14),
8. 10552151 - Computer vision implementing calculations of window sums in overlapping windows (2020-02-04),
9. 10503552 - Scheduler for vector processing operator readiness (2019-12-10),
10. 10452449 - Scheduler for vector processing operator allocation (2019-10-22),
11. 10409887 - Generalized dot product for computer vision applications (2019-09-10),
12. 10310768 - Convolution calculations in multiple dimensions (2019-06-04),
13. 10237571 - Inter-prediction candidate selection in a mode decision (2019-03-19),
14. 10051292 - Tree-coded video compression with coupled pipelines (2018-08-14),
15. 9924165 - Interleaved video coding pipeline (2018-03-20),

Title: Innovations and Contributions of Peter Verplaetse

Introduction: Peter Verplaetse is a notable inventor based in Redwood City, California, with an impressive portfolio of 18 patents. His work primarily focuses on advancements in video processing technology, demonstrating a significant impact in the field of motion estimation and video coding.

Latest Patents: Among his latest inventions is the patent for "Shared Motion Estimation Cost Metrics for Overlapping Units." This apparatus comprises a processor and a circuit designed to optimize motion estimation by comparing units of a current picture with a reference picture and refining metrics to generate motion vectors in a hierarchical manner. Another notable invention is the "Interleaved Video Coding Pipeline," which involves a hardware pipeline with multiple stages to process video data independently, enhancing efficiency in video coding processes by utilizing predictor information based on neighbor data.

Career Highlights: Peter has contributed significantly to prestigious companies, including Ambarella, Inc. and Ambarella International LP. His innovative mindset has paved the way for advancements in video technologies, influencing both research and commercial applications.

Collaborations: In his professional journey, Peter has collaborated with talented individuals such as Leslie D. Kohn and Ellen M. Lee, further enriching his experience and contributions to the field.

Conclusion: Peter Verplaetse's extensive patent portfolio and innovative contributions to video processing technology underscore his role as a leading figure in the industry. His continued involvement in groundbreaking projects and collaborations exemplifies the spirit of innovation that drives advancements in technology today.

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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