DATA COMPRESSION USING CONDITIONAL ENTROPY MODELS

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for compressing and decompressing data. In one aspect, a method comprises: processing data using an encoder neural network to generate a latent representation of the data; processing the latent represe...

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Bibliographische Detailangaben
Hauptverfasser: HWANG, Sung Jin, MINNEN, David Charles, JOHNSTON, Nicholas, SINGH, Saurabh, TODERICI, George Dan, CHINEN, Troy, BALLE, Johannes
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for compressing and decompressing data. In one aspect, a method comprises: processing data using an encoder neural network to generate a latent representation of the data; processing the latent representation of the data using a hyper-encoder neural network to generate a latent representation of an entropy model; generating an entropy encoded representation of the latent representation of the entropy model; generating an entropy encoded representation of the latent representation of the data using the latent representation of the entropy model; and determining a compressed representation of the data from the entropy encoded representations of: (i) the latent representation of the data and (ii) the latent representation of the entropy model used to entropy encode the latent representation of the data.