Invention Application
- Patent Title: COMPRESSING IMAGES USING NEURAL NETWORKS
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Application No.: US15396332Application Date: 2016-12-30
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Publication No.: US20170230675A1Publication Date: 2017-08-10
- Inventor: Daniel Pieter Wierstra , Karol Gregor , Frederic Olivier Besse
- Applicant: Google Inc.
- Main IPC: H04N19/30
- IPC: H04N19/30 ; G06N3/08 ; H04N19/44 ; G06N3/04

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for compressing images using neural networks. One of the methods includes receiving an image; processing the image using an encoder neural network, wherein the encoder neural network is configured to receive the image and to process the image to generate an output defining values of a first number of latent variables that each represent a feature of the image; generating a compressed representation of the image using the output defining the values of the first number of latent variables; and providing the compressed representation of the image for use in generating a reconstruction of the image.
Public/Granted literature
- US10432953B2 Compressing images using neural networks Public/Granted day:2019-10-01
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