Enhanced coding efficiency with progressive representation
US10977553B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 8, 2019 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Jun 24, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/91
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A deep learning based compression (DLBC) system generates a progressive representation of the encoded input image such that a client device that requires the encoded input image at a particular target bitrate can readily be transmitted the appropriately encoded data. More specifically, the DLBC system computes a representation that includes channels and bitplanes that are ordered based on importance. For a given target rate, the DLBC system truncates the representation according to a trained zero mask to generate the progressive representation. Transmitting a first portion of the progressive representation enables a client device with the lowest target bitrate to appropriately playback the content. Each subsequent portion of the progressive representation allows the client device to playback the content with improved quality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.