Sunnyvale, CA, United States of America

Pradipkumar Dineshbhai Gajjar


Average Co-Inventor Count = 5.6

ph-index = 5

Forward Citations = 302(Granted Patents)


Location History:

  • Sunnyvalle, CA (US) (2017)
  • Sunnyvale, CA (US) (2012 - 2022)

Company Filing History:


Years Active: 2012-2022

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12 patents (USPTO):Explore Patents

Title: **Innovator Spotlight: Pradipkumar Dineshbhai Gajjar**

Introduction

Pradipkumar Dineshbhai Gajjar is a prominent inventor based in Sunnyvale, CA, known for his significant contributions to the field of multimedia content identification and fingerprinting technology. With a remarkable portfolio of 12 patents, Gajjar continues to push the boundaries of innovation in his domain.

Latest Patents

Among his latest inventions is a groundbreaking method to differentiate and classify fingerprints using fingerprint neighborhood analysis. This innovative technique focuses on excluding 'stop-fingerprints' from media database formation and searching within automatic content recognition (ACR) systems that leverage media content fingerprints. The classification process developed by Gajjar utilizes a novel stop-fingerprint classification algorithm to modify sets of fingerprints derived from reference media files.

In addition, he has created an architecture for distributed stop-fingerprint generation. This architecture includes various case studies, such as generating stop-fingerprints for entire reference databases and for individual reference fingerprint files. Furthermore, Gajjar's work on temporal fingerprint classification through intermediate steps, combined with a hash-based signature classification algorithm, showcases his expertise in creating intelligent and efficient systems.

Another notable patent pertains to a scalable media fingerprinting and identification system. This robust architecture addresses numerous classes of video distortions, generating fingerprints composed of compact signatures, traversal hash signatures, and associated metadata. The system efficiently constructs reference signature databases and employs fast similarity search procedures to match query signatures against the reference, ultimately enhancing detection accuracy through signature correlation.

Career Highlights

Gajjar has amassed a wealth of experience in his career, having contributed his skills to renowned companies such as Roku, Inc. and Zeitera, LLC. His work in these organizations has enabled developments in cutting-edge technologies and solutions in multimedia content recognition.

Collaborations

Throughout his journey, Pradipkumar Dineshbhai Gajjar has collaborated with notable coworkers, including Jose Pio Pereira and Sunil Suresh Kulkarni. These partnerships have contributed to the successful development and implementation of his innovative projects, showcasing the power of teamwork in the innovation process.

Conclusion

Pradipkumar Dineshbhai Gajjar's contributions to the field of multimedia identification and fingerprinting underline the profound impact of innovation on technology. His extensive work and patent portfolio highlight his role as a leading inventor, dedicated to enhancing the capabilities of content recognition systems through his innovative solutions. Gajjar's ongoing endeavors continue to inspire future developments in the realm of technology and innovation.

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