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US Patent 10289912 Classifying videos using neural networks

Patent 10289912 was granted and assigned to Google on May, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10289912
Date of Patent
May 14, 2019
Patent Application Number
15143218
Date Filed
April 29, 2016
Patent Citations Received
‌
US Patent 11055535 Method and device for video classification
‌
US Patent 10387740 Object detection and recognition apparatus based on CNN based integrated circuits
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US Patent 11556302 Electronic apparatus, document displaying method thereof and non-transitory computer readable recording medium
Patent Primary Examiner
‌
Chan Park
Patent 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.

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