Milpitas, CA, United States of America

Atul Chadha


Average Co-Inventor Count = 3.7

ph-index = 9

Forward Citations = 475(Granted Patents)


Location History:

  • Milpitas, CA (US) (1998 - 2000)
  • San Jose, CA (US) (2001 - 2005)

Company Filing History:


Years Active: 1998-2005

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):

Title: Atul Chadha: Innovator in Video Compression and Data Mining

Introduction

Atul Chadha is a prominent inventor based in Milpitas, CA (US). He has made significant contributions to the fields of video compression and data mining, holding a total of 9 patents. His work focuses on enhancing content-based querying and improving data retrieval methods.

Latest Patents

Chadha's latest patents include a system and method for content-based querying using video compression format. This innovative visual query system enhances and accelerates content-based querying by presenting a new image similarity measure. The system encodes images as consecutive frames in a video sequence and utilizes the ratio between the file length of the compressed sequence and the original file length as a distance measure. Additionally, he has developed a method for using object relational extensions for mining association rules. This method allows for efficient data mining by retrieving data from a multi-column data store organized using a multi-column data model.

Career Highlights

Atul Chadha is associated with International Business Machines Corporation (IBM), where he continues to push the boundaries of technology. His work has been instrumental in advancing the capabilities of video compression systems and data mining techniques.

Collaborations

Chadha has collaborated with notable coworkers, including Balakrishna Raghavendra Iyer and Steven John Watts, contributing to various innovative projects.

Conclusion

Atul Chadha's contributions to video compression and data mining exemplify his innovative spirit and dedication to advancing technology. His patents reflect a commitment to enhancing the efficiency and effectiveness of data retrieval methods.

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