Medina, WA, United States of America

Narayan Sundaram

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Narayan Sundaram. Retrieved from https://idiyas.com/inventor/narayan-sundaram

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Narayan Sundaram and Automated Media Up-Sampling.

Introduction

Narayan Sundaram is an inventor based in Medina, Washington, and is associated with Amazon Technologies, Inc. His patent work addresses techniques for improving digital media content through automated up-sampling.

Latest Patents

Sundaram is named on 1 patent, titled “Techniques for Up-Sampling Digital Media Content.” The invention describes receiving a media file, its title, and associated metadata, then partitioning the media into scene files containing sequences of frame images. Corresponding scenes can be up-sampled and combined to create an up-sampled media file. The process may identify characters in frames using facial recognition supported by deep-learning features in a neural network.

Career Highlights

Sundaram’s listed patent reflects work on applying machine-learning techniques to media processing. The disclosed approach combines scene-based organization with character recognition to support automated enhancement of digital content.

Collaborations

Sundaram’s listed coworkers include David Niu and Yang Yu. The patent information provided connects his work with Amazon Technologies, Inc.

Conclusion

Narayan Sundaram’s patent describes an automated approach to up-sampling digital media by analyzing scenes and identifying characters with neural-network-based facial recognition.

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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