Patents by Inventor Abishek SETHI

Abishek SETHI 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).

  • Cross-Modal Weak Supervision For Media Classification
    Publication number: 20230260303
    Abstract: Methods, systems, and storage media for classifying content across media formats based on weak supervision and cross-modal training are disclosed. The system can maintain a first feature classifier and a second feature classifier that classifies features of content having a first and second media format, respectively. The system can extract a feature space from a content item using the first feature classifier and the second feature classifier. The system can apply a set of content rules to the feature space to determine content metrics. The system can correlate a set of known labelled data to the feature space to construct determinative training data. The system can train a discrimination model using the content item and the determinative training data. The system can classify content using the discrimination model to assign a content policy to the second content item.
    Type: Application
    Filed: February 7, 2023
    Publication date: August 17, 2023
    Inventors: Girija Narlikar, Abishek Sethi, Sahaana Suri, Raghuveer Chanda
  • Cross-modal weak supervision for media classification
    Patent number: 11574145
    Abstract: Methods, systems, and storage media for classifying content across media formats based on weak supervision and cross-modal training are disclosed. The system can maintain a first feature classifier and a second feature classifier that classifies features of content having a first and second media format, respectively. The system can extract a feature space from a content item using the first feature classifier and the second feature classifier. The system can apply a set of content rules to the feature space to determine content metrics. The system can correlate a set of known labelled data to the feature space to construct determinative training data. The system can train a discrimination model using the content item and the determinative training data. The system can classify content using the discrimination model to assign a content policy to the second content item.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: February 7, 2023
    Assignee: GOOGLE LLC
    Inventors: Girija Narlikar, Abishek Sethi, Sahaana Suri, Raghuveer Chanda
  • CROSS-MODAL WEAK SUPERVISION FOR MEDIA CLASSIFICATION
    Publication number: 20210406601
    Abstract: Methods, systems, and storage media for classifying content across media formats based on weak supervision and cross-modal training are disclosed. The system can maintain a first feature classifier and a second feature classifier that classifies features of content having a first and second media format, respectively. The system can extract a feature space from a content item using the first feature classifier and the second feature classifier. The system can apply a set of content rules to the feature space to determine content metrics. The system can correlate a set of known labelled data to the feature space to construct determinative training data. The system can train a discrimination model using the content item and the determinative training data. The system can classify content using the discrimination model to assign a content policy to the second content item.
    Type: Application
    Filed: June 30, 2020
    Publication date: December 30, 2021
    Applicant: GOOGLE LLC
    Inventors: Girija NARLIKAR, Abishek SETHI, Sahaana SURI, Raghuveer CHANDA