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US Patent 10013640 Object recognition from videos using recurrent neural networks

Patent 10013640 was granted and assigned to Google on July, 2018 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
10013640
Date of Patent
July 3, 2018
Patent Application Number
14976147
Date Filed
December 21, 2015
Patent Citations Received
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US Patent 11922671 Apparatus and method for processing image data
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US Patent 11870947 Generating images using neural networks
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US Patent 11880758 Recurrent neural network classifier
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US Patent 11462034 Generating images using neural networks
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US Patent 10176388 Spatial and temporal information for semantic segmentation
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US Patent 10339421 RGB-D scene labeling with multimodal recurrent neural networks
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US Patent 10366328 Approximating fully-connected layers with multiple arrays of 3x3 convolutional filter kernels in a CNN based integrated circuit
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US Patent 10546208 Method, system and apparatus for selecting a video frame
...
Patent Primary Examiner
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying an object from a video. One of the methods includes obtaining multiple frames from a video, where each frame of the multiple frames depicts an object to be recognized, and processing, using an object recognition model, the multiple frames to generate data that represents a classification of the object to be recognized.

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