Patents by Inventor Gideon Mann

Gideon Mann 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).

  • Publication number: 20160014440
    Abstract: A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.
    Type: Application
    Filed: October 1, 2012
    Publication date: January 14, 2016
    Inventors: CORINNA CORTES, SANJIV KUMAR, Ameesh Makadia, Gideon Mann, Jay Yagnik, Ming Zhao
  • Patent number: 8301498
    Abstract: A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.
    Type: Grant
    Filed: June 4, 2012
    Date of Patent: October 30, 2012
    Assignee: Google Inc.
    Inventors: Corinna Cortes, Sanjiv Kumar, Ameesh Makadia, Gideon Mann, Jay Yagnik, Ming Zhao
  • Publication number: 20120272259
    Abstract: A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.
    Type: Application
    Filed: June 4, 2012
    Publication date: October 25, 2012
    Applicant: GOOGLE INC.
    Inventors: Corinna Cortes, Sanjiv Kumar, Ameesh Makadia, Gideon Mann, Jay Yagnik, Ming Zhao
  • Publication number: 20100191689
    Abstract: A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.
    Type: Application
    Filed: February 25, 2009
    Publication date: July 29, 2010
    Applicant: Google Inc.
    Inventors: Corinna Cortes, Sanjiv Kumar, Ameesh Makadia, Gideon Mann, Jay Yagnik, Ming Zhao