Content adaptive optimization for neural data compression
US11057634B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 15, 2019 |
| Grant date | Jul 6, 2021 |
| Priority date | — |
| Expiry date | May 15, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/513
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A data processing system includes a computing platform having a hardware processor and a memory storing a data compression software code. The hardware processor executes the data compression software code to receive a series of compression input data and encode a first compression input data of the series to a latent space representation of the first compression input data. The data compression software code further decodes the latent space representation to produce an input space representation of the first compression input data corresponding to the latent space representation, and generates f refined latent values for re-encoding the first compression input data based on a comparison of the first compression input data with its input space representation. The data compression software code then re-encodes the first compression input data using the refined latent values to produce a first compressed data corresponding to the first compression input data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.