Patents by Inventor Felix Fung

Felix Fung 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).

  • Reducing photo-tagging spam
    Patent number: 10432562
    Abstract: A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.
    Type: Grant
    Filed: October 17, 2016
    Date of Patent: October 1, 2019
    Assignee: Facebook, Inc.
    Inventor: Felix Fung
  • Reducing Photo-Tagging Spam
    Publication number: 20170034094
    Abstract: A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.
    Type: Application
    Filed: October 17, 2016
    Publication date: February 2, 2017
    Inventor: Felix Fung
  • Reducing photo-tagging spam
    Patent number: 9485204
    Abstract: A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.
    Type: Grant
    Filed: February 13, 2015
    Date of Patent: November 1, 2016
    Assignee: Facebook, Inc.
    Inventor: Felix Fung
  • REDUCING PHOTO-TAGGING SPAM
    Publication number: 20150156152
    Abstract: A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.
    Type: Application
    Filed: February 13, 2015
    Publication date: June 4, 2015
    Inventor: Felix Fung
  • Reducing photo-tagging spam
    Patent number: 8995775
    Abstract: A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.
    Type: Grant
    Filed: May 2, 2011
    Date of Patent: March 31, 2015
    Assignee: Facebook, Inc.
    Inventor: Felix Fung
  • Reducing Photo-Tagging Spam
    Publication number: 20120281911
    Abstract: A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.
    Type: Application
    Filed: May 2, 2011
    Publication date: November 8, 2012
    Inventor: Felix Fung