Decision-based data compression by means of deep learning technologies
US10276134B2 · kind B2 · utility
2Cited by
2References
15Claims
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Key dates
| Filing date | Mar 22, 2017 |
| Grant date | Apr 30, 2019 |
| Priority date | — |
| Expiry date | Apr 29, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG09G2340/02
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Data may be handled based on compressibility (i.e., whether the data may be further compressed or is not further compressible). A supervised learning model may be trained using a set of known further compressible data and a set of known non-compressible data. Using these data sets, the model may generate weighting factors and bias for the particular data sets. The trained model may then be used to evaluate a set of unclassified data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.