Patents by Inventor Manav Kedia

Manav Kedia 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).

  • Patent number: 11676175
    Abstract: Methods, systems, and storage media for assigning multiple identifiers to user accounts are disclosed. Exemplary implementations may: receive an indication of an event; associate the event with a user; associate the user with at least a first account identifier of a plurality of accounts of the user; associate the user with at least a second account identifier of the plurality of accounts of the user, the second account identifier different than the first account identifier; add at least one of the first account identifier or the second account identifier to a custom audience relating to the event; target the custom audience through directed advertising; and deliver advertisements to the custom audience.
    Type: Grant
    Filed: August 20, 2021
    Date of Patent: June 13, 2023
    Assignee: Meta Platforms, Inc.
    Inventors: Shlok Vaidya, Sagar Sanjay Chordia, Tuna Toksoz, Manish Singhal, Wei Wei, Yu Wang, Yu Pang, Connor Foody, Manav Kedia, Jinghao Yan
  • Patent number: 10380428
    Abstract: Techniques are described for analyzing a video for memorability, identifying content features of the video that are likely to be memorable, and scoring specific content features within the video for memorability. The techniques can be optionally applied to selected features in the video, thus improving the memorability of the selected features. The features may be organic features of the originally captured video or add-in features provided using an editing tool. The memorability of video features, text features, or both can be improved by analyzing the effects of applying different styles or edits (e.g., sepia tone, image sharpen, image blur, annotation, addition of object) to the content features or to the video in general. Recommendations can then be provided regarding memorability score caused by application of the image styles to the video features.
    Type: Grant
    Filed: September 26, 2017
    Date of Patent: August 13, 2019
    Assignee: Adobe Inc.
    Inventors: Sumit Shekhar, Srinivasa Madhava Phaneendra Angara, Manav Kedia, Dhruv Singal, Akhil Sathyaprakash Shetty
  • Publication number: 20180018523
    Abstract: Techniques are described for analyzing a video for memorability, identifying content features of the video that are likely to be memorable, and scoring specific content features within the video for memorability. The techniques can be optionally applied to selected features in the video, thus improving the memorability of the selected features. The features may be organic features of the originally captured video or add-in features provided using an editing tool. The memorability of video features, text features, or both can be improved by analyzing the effects of applying different styles or edits (e.g., sepia tone, image sharpen, image blur, annotation, addition of object) to the content features or to the video in general. Recommendations can then be provided regarding memorability score caused by application of the image styles to the video features.
    Type: Application
    Filed: September 26, 2017
    Publication date: January 18, 2018
    Applicant: Adobe Systems Incorporated
    Inventors: Sumit Shekhar, Srinivasa Madhava Phaneendra Angara, Manav Kedia, Dhruv Singal, Akhil Sathyaprakash Shetty
  • Patent number: 9805269
    Abstract: Techniques are described for analyzing a video for memorability, identifying content features of the video that are likely to be memorable, and scoring specific content features within the video for memorability. The techniques can be optionally applied to selected features in the video, thus improving the memorability of the selected features. The features may be organic features of the originally captured video or add-in features provided using an editing tool. The memorability of video features, text features, or both can be improved by analyzing the effects of applying different styles or edits (e.g., sepia tone, image sharpen, image blur, annotation, addition of object) to the content features or to the video in general. Recommendations can then be provided regarding memorability score caused by application of the image styles to the video features.
    Type: Grant
    Filed: November 20, 2015
    Date of Patent: October 31, 2017
    Assignee: ADOBE SYSTEMS INCORPORATED
    Inventors: Sumit Shekhar, Srinivasa Madhava Phaneendra Angara, Manav Kedia, Dhruv Singal, Akhil Sathyaprakash Shetty
  • Publication number: 20170147906
    Abstract: Techniques are described for analyzing a video for memorability, identifying content features of the video that are likely to be memorable, and scoring specific content features within the video for memorability. The techniques can be optionally applied to selected features in the video, thus improving the memorability of the selected features. The features may be organic features of the originally captured video or add-in features provided using an editing tool. The memorability of video features, text features, or both can be improved by analyzing the effects of applying different styles or edits (e.g., sepia tone, image sharpen, image blur, annotation, addition of object) to the content features or to the video in general. Recommendations can then be provided regarding memorability score caused by application of the image styles to the video features.
    Type: Application
    Filed: November 20, 2015
    Publication date: May 25, 2017
    Applicant: ADOBE SYSTEMS INCORPORATED
    Inventors: Sumit Shekhar, Srinivasa Madhava Phaneendra Angara, Manav Kedia, Dhruv Singal, Akhil Sathyaprakash Shetty