Systems and methods for distributed quantization of multimodal images

Patent metadata

Field	Value
Publication number	US-2020145673-A1
Application number	US-202016734885-A
Country	US
Kind code	A1
Filing date	Jan 6, 2020
Priority date	Sep 30, 2016
Publication date	May 7, 2020
Grant date	—

Abstract

A system and method for implementing a distributed source coding quantization scheme is provided. In one example, two independent but statistically correlated data sources can be asymmetrically compressed so that one source is compressed at a higher ratio than the other. The resulting signals are transmitted and decoded by a receiver. The highly compressed source can utilize the non-highly compressed source as side information so as to minimize the compression loss associated with the higher compression ratio. A conditional codebook can be created that not only depends on the highly compressed quantizer, but also depends on the quantized symbol received from the non-highly compressed data source.

First claim

1 . An electronic device configured to decode quantized signals, the device comprising:
a first decoder, wherein the first decoder is configured to:
receive a first quantized collection of bits, wherein the first quantized collection of bits is based on data acquired by a first data source;
select a first codeword from a first codebook based on the first received quantized collection of bits; and
reconstruct the data acquired by the first data source using the selected first codeword; and
a second decoder, wherein the second decoder is configured to:
receive a second quantized collection of bits, wherein the second quantized collection of bits is based on data acquired by a second data source, and wherein the data acquired by the first data source and the data acquired by the second data source are related; and
select a codeword from a second codebook based on the second received quantized collection of bits and the first received quantized collection of bits, wherein the second codebook is based on the first codebook and a relationship between the first quantized collection of bits and the second quantized collection of bits.

Assignees

• Mitre Corp

Inventors

• Taylor Jr Robert M
• Woodard Jeffrey P

Classifications

• H04N19/132

  Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking · CPC title

• H04N19/94

  Vector quantisation · CPC title

• H04N19/463

  by compressing encoding parameters before transmission · CPC title

• H04N19/13

  Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC] · CPC title

• H04N19/124 Primary

  Quantisation · CPC title