Seoul, South Korea

Chandra Shekhar Dhir

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Chandra Shekhar Dhir: Innovator in Content Recognition Technology

Introduction

Chandra Shekhar Dhir is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of content recognition technology. His innovative approach has led to the development of a unique patent that enhances the accuracy and reliability of content recognition using audio signals.

Latest Patents

Chandra Shekhar Dhir holds a patent for an "Apparatus and method for recognizing content using audio signal." This invention relates to a content recognition apparatus that includes a query fingerprint extraction unit. The unit forms frames with a preset length for an audio signal and generates frame-based feature vectors for each frame, thus extracting a query fingerprint. A reference fingerprint database stores reference fingerprints for comparison with the query fingerprint, along with corresponding content information. The fingerprint matching unit determines which reference fingerprint matches the query fingerprint. This innovative method maintains accuracy and reliability while providing prompt results.

Career Highlights

Chandra Shekhar Dhir is currently employed at Enswers Co., Ltd., where he continues to work on advancements in audio signal processing and content recognition technologies. His expertise and dedication to innovation have positioned him as a key figure in his field.

Collaborations

Chandra has collaborated with talented individuals such as Hoon-Young Cho and Jaehyung Lee. Their combined efforts contribute to the ongoing development of cutting-edge technologies in content recognition.

Conclusion

Chandra Shekhar Dhir's work in content recognition technology exemplifies the impact of innovative thinking in the field. His patent demonstrates a significant advancement in the accuracy and efficiency of recognizing content through audio signals.

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