Seattle, WA, United States of America

Zafar Rafii

This inventor holds 1 USPTO granted patent. Top assignee: Audible Magic Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zafar Rafii. Retrieved from https://idiyas.com/inventor/zafar-rafii-q5d7ji41

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Zafar Rafii: Innovator in Media Content Identification

Introduction

Zafar Rafii is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of media content identification through his innovative patent. His work focuses on enhancing copyright compliance and identifying modifications in media content.

Latest Patents

Zafar Rafii holds a patent titled "Detecting and removing media modifications for identification services and copyright compliance." This patent describes a system that processes a representation of a media content item using a trained machine learning model. The model identifies whether the media content item is modified and outputs indications of any modifications. If the modifications meet certain criteria, operations are performed to generate an updated media content item. This updated item is then compared to known media content items to identify any known material contained within.

Career Highlights

Zafar Rafii is currently employed at Audible Magic Corporation, where he applies his expertise in media content identification. His work is pivotal in ensuring that media content adheres to copyright regulations and is accurately identified.

Collaborations

Some of Zafar Rafii's coworkers include Erling H Wold and Todd Patrick McGee. Their collaboration contributes to the innovative environment at Audible Magic Corporation.

Conclusion

Zafar Rafii's contributions to media content identification through his patent demonstrate his commitment to innovation in the field. His work not only enhances copyright compliance but also advances the use of machine learning in media processing.

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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