Noida, India

Chandra Prabhaker

This inventor holds 1 USPTO granted patent. Top assignee: Samsung Electronics Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chandra Prabhaker. Retrieved from https://idiyas.com/inventor/chandra-prabhaker

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Chandra Prabhaker: Inventor of an Image-Based Mood Analysis System.

Introduction

Chandra Prabhaker is an inventor associated with Noida, India, and Samsung Electronics Ltd. Her work includes a patented method and system for extracting sentiments or moods from art images.

Latest Patents

Prabhaker is associated with 1 patent, titled “Method and System for Extracting Sentiments or Mood from Art Images.” The invention receives and preprocesses an art image, then extracts features such as its dominant perceptual color, dominant subject, low-level image characteristics, and mood-related information from its description. An artificial neural network classifies the extracted features into mood or sentiment categories, which are used to predict a mood or sentiment present in the image.

Career Highlights

Prabhaker’s patent describes an approach to interpreting visual art by combining image features and descriptive information with neural-network classification. The method connects perceptual color and other image characteristics to predicted moods or sentiments.

Collaborations

The provided information names Mayank Haarit and Neeraj Kumar as Prabhaker’s coworkers. It does not specify their roles or contributions to the patent.

Conclusion

Chandra Prabhaker’s patented system applies image processing and artificial neural networks to identify moods or sentiments in art images.

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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