Patents by Inventor Matthew John Hausknecht

Matthew John Hausknecht 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).

  • Classifying videos using neural networks
    Patent number: 11074454
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying videos using neural networks. One of the methods includes obtaining a temporal sequence of video frames, wherein the temporal sequence comprises a respective video frame from a particular video at each of a plurality time steps; for each time step of the plurality of time steps: processing the video frame at the time step using a convolutional neural network to generate features of the video frame; and processing the features of the video frame using an LSTM neural network to generate a set of label scores for the time step and classifying the video as relating to one or more of the topics represented by labels in the set of labels from the label scores for each of the plurality of time steps.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: July 27, 2021
    Assignee: Google LLC
    Inventors: Sudheendra Vijayanarasimhan, George Dan Toderici, Yue Hei Ng, Matthew John Hausknecht, Oriol Vinyals, Rajat Monga
  • Classifying videos using neural networks
    Patent number: 10289912
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying videos using neural networks. One of the methods includes obtaining a temporal sequence of video frames, wherein the temporal sequence comprises a respective video frame from a particular video at each of a plurality time steps; for each time step of the plurality of time steps: processing the video frame at the time step using a convolutional neural network to generate features of the video frame; and processing the features of the video frame using an LSTM neural network to generate a set of label scores for the time step and classifying the video as relating to one or more of the topics represented by labels in the set of labels from the label scores for each of the plurality of time steps.
    Type: Grant
    Filed: April 29, 2016
    Date of Patent: May 14, 2019
    Assignee: Google LLC
    Inventors: Sudheendra Vijayanarasimhan, George Dan Toderici, Yue Hei Ng, Matthew John Hausknecht, Oriol Vinyals, Rajat Monga