Adaptive quantization
US10594338B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 18, 2019 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Mar 18, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03M7/4075
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A compression system includes an encoder and a decoder. The encoder can be deployed by a sender system to encode a tensor for transmission to a receiver system, and the decoder can be deployed by the receiver system to decode and reconstruct the encoded tensor. The encoder receives a tensor for compression. The encoder also receives a quantization mask and probability data associated with the tensor. Each element of the tensor is quantized using an alphabet size allocated to that element by the quantization mask data. The encoder compresses the tensor by entropy coding each element using the probability data and alphabet size associated with the element. The decoder receives the quantization mask data, the probability data, and the compressed tensor data. The quantization mask and probabilities are used to entropy decode and subsequently reconstruct the tensor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.