Patents by Inventor KIRAN CHARANTIMATH

KIRAN CHARANTIMATH has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Recommendation of audio based on video analysis using machine learning
    Patent number: 12100416
    Abstract: An electronic device and method for recommendation of audio based on video analysis is provided. The electronic device receives one or more frames of a first scene of a plurality of scenes of a video. The first scene includes a set of objects. The electronic device applies a trained neural network model on the received one or more frames to detect the set of objects. The electronic device determines an impact score of each object of the detected set of objects of the first scene based on the application of the trained neural network model on the set of objects. The electronic device further selects at least one first object from the set of objects based on the impact score of each object, and recommends one or more first audio tracks as a sound effect for the first scene based on the selected at least one first object.
    Type: Grant
    Filed: July 8, 2021
    Date of Patent: September 24, 2024
    Assignee: SONY GROUP CORPORATION
    Inventors: Kiran Charantimath, Karan Parikh
  • RECOMMENDATION OF AUDIO BASED ON VIDEO ANALYSIS USING MACHINE LEARNING
    Publication number: 20230019025
    Abstract: An electronic device and method for recommendation of audio based on video analysis is provided. The electronic device receives one or more frames of a first scene of a plurality of scenes of a video. The first scene includes a set of objects. The electronic device applies a trained neural network model on the received one or more frames to detect the set of objects. The electronic device determines an impact score of each object of the detected set of objects of the first scene based on the application of the trained neural network model on the set of objects. The electronic device further selects at least one first object from the set of objects based on the impact score of each object, and recommends one or more first audio tracks as a sound effect for the first scene based on the selected at least one first object.
    Type: Application
    Filed: July 8, 2021
    Publication date: January 19, 2023
    Inventors: KIRAN CHARANTIMATH, KARAN PARIKH