Techniques for general-purpose lossless data compression using a recurrent neural network
US9941900B1 · kind B1 · utility
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3References
20Claims
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Key dates
| Filing date | Oct 3, 2017 |
| Grant date | Apr 10, 2018 |
| Priority date | — |
| Expiry date | Oct 3, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for general-purpose lossless data compression using a neural network including compressing an original content item to a baseline lossless compressed data format. The baseline lossless compressed data format is binarized to a binarized format. The binarized format is arithmetically coded based on probability estimates from a neural network probability estimator. The neural network probability estimator generates the probability estimates for current symbols of the binarized format to be arithmetically coded based on symbols of the binarized format that have already been arithmetically coded.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.