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For the Inventor, By the Inventor

San Diego, CA, United States of America

Narendranath Malayath

This inventor holds 20 USPTO granted patents and 1 published patent application and 5 EPO patents, primarily in Video Compression Technology. Top assignee: Qualcomm Incorporated. Active years: 2004-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Narendranath Malayath. Retrieved from https://idiyas.com/inventor/narendranath-malayath

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

Calculating rank
USPTO Granted Patents = 20 

% Patents Active = 45.0

 

Average Co-Inventor Count = 2.4

ph-index = 7

Forward Citations = 327(Granted Patents)


Company Filing History:

goldMedal20 out of 45,060 
 
Qualcomm Incorporated
 patents

Years Active: 2004-2025

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Areas of Expertise:
Video Encoding
Machine Learning
Rate-Distortion Optimization
Motion Estimation
Image Processing
Video Compression
Key Frame Selection
Video Stabilization
Bit Allocation
Rate Control Techniques
Scalable Video Coding
Intensity Compensation
20 patents (USPTO):Explore Patents
1. 12401818 - Efficient video encoder architecture (2025-08-26),
2. 12165416 - Determining common operations for image processing computing components (2024-12-10),
3. 11496746 - Machine learning based rate-distortion optimizer for video compression (2022-11-08),
4. 9432614 - Integrated downscale in video core (2016-08-30),
5. 8761259 - Multi-dimensional neighboring block prediction for video encoding (2014-06-24),
6. 8711926 - Distortion estimation for quantized data (2014-04-29),
7. 8599920 - Intensity compensation techniques in video processing (2013-12-03),
8. 8462850 - Motion estimation in video compression systems (2013-06-11),
9. 8379721 - Two pass rate control techniques for video coding using a min-max approach (2013-02-19),
10. 8233544 - Video coding with fine granularity scalability using cycle-aligned fragments (2012-07-31),
11. 8208548 - Video encoding (2012-06-26),
12. 8036263 - Selecting key frames from video frames (2011-10-11),
13. 7876819 - Two pass rate control techniques for video coding using rate-distortion characteristics (2011-01-25),
14. 7852940 - Scalable motion estimation for video encoding (2010-12-14),
15. 7848409 - Macroblock level bit allocation (2010-12-07),

Title: Innovator Spotlight - Narendranath Malayath

Introduction:

Narendranath Malayath, based in San Diego, CA, is a prolific inventor with an impressive track record of 18 patents. His innovative mindset and technical expertise have significantly contributed to the field of video compression and image processing.

Latest Patents:

1. Machine learning based rate-distortion optimizer for video compression: Narendranath's patent describes a revolutionary approach to data encoding using machine learning. By generating distortion and bit rate predictions, this system optimizes rate-distortion for enhanced video compression efficiency.

2. Integrated downscale in video core: This patent showcases Narendranath's expertise in video image processing. By implementing integrated video downscale, this technology conserves resources during encoding/decoding processes.

Career Highlights:

Currently employed at Qualcomm Incorporated, Narendranath continues to drive innovation within the company. His dedication to advancing video technology has led to groundbreaking solutions that elevate the performance of video compression systems.

Collaborations:

Narendranath has collaborated with esteemed colleagues Haohong Wang and Raghavendra Nagaraj. Together, they have combined their expertise to push the boundaries of video compression technologies, enhancing the overall user experience.

Conclusion:

In conclusion, Narendranath Malayath stands out as a visionary inventor in the realm of video technology. His patents not only showcase his technical prowess but also reflect his commitment to driving innovation in the field. With a strong foundation in machine learning and video processing, Narendranath continues to make significant contributions to 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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