Mountain View, CA, United States of America

Venkatesh Manickavasagam


 

Average Co-Inventor Count = 1.7

ph-index = 1


Company Filing History:


Years Active: 2021

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2 patents (USPTO):Explore Patents

Title: Inventor Venkatesh Manickavasagam: Innovative Patents in Image Processing

Introduction

Venkatesh Manickavasagam is a skilled inventor based in Mountain View, California. With a focus on image processing technologies, he has contributed significantly to the field through his innovative patents. His work primarily involves developing methods that enhance the relevance and identification of visual content on the web.

Latest Patents

Venkatesh holds two patents that showcase his expertise. The first patent, titled "Visual Leaf Page Identification and Processing," outlines a method for identifying visual leaf pages hosted by multiple web hosts. This method includes generating cluster data that represents the visual leaf pages linked through hub pages, based on the features associated with those pages. The second patent, "Contextual Based Image Search Results," details methods and systems for determining image relevance in response to search queries. It involves analyzing resources, extracting text topics, and processing images to assess their relevance through topic match scores.

Career Highlights

Venkatesh is currently associated with Google Inc., a leading technology company renowned for its innovation and research in various fields. His work at Google has allowed him to delve deeper into image processing and provide solutions that enhance user experiences.

Collaborations

Throughout his career, Venkatesh has collaborated with talented individuals, including coworkers Wencong Zhang and Jyoti Sood. These collaborations reflect a team-oriented approach that fosters creativity and the development of cutting-edge technologies.

Conclusion

Venkatesh Manickavasagam's contributions to image processing through his patents have made a significant impact on technology. His innovative methods not only improve web content identification but also enhance the relevance of image searches. As he continues his work at Google Inc., his influence on the field is expected to grow, paving the way for future innovations in image processing.

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