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Touch data hybrid compression system based on data characteristics and improved regression

A data characteristic, hybrid compression technology, applied in tactile transmission signal systems, digital video signal modification, instruments, etc., to achieve the effect of enhancing tactile interaction experience and data compression rate

Active Publication Date: 2022-02-08
FUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditionally, the transmission coding method based on dead zone characteristics and prediction, the coding method based on discrete cosine transform and other methods are used to solve this problem, but research shows that there is room for improvement

Method used

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  • Touch data hybrid compression system based on data characteristics and improved regression
  • Touch data hybrid compression system based on data characteristics and improved regression
  • Touch data hybrid compression system based on data characteristics and improved regression

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Experimental program
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Embodiment 1

[0057] In this embodiment, the data set used is the standard database provided by IEEE P1918.1.1 Haptic Codecs Task Group;

[0058] According to the fact that the DCT coefficients are real numbers and have energy compression characteristics, the data is compressed by the DCT compression method, and the compression principle is as follows:

[0059]

[0060]

[0061] In the formula, x(n) and y(k) are input data and DCT coefficients respectively, and N is the number of input data.

[0062] Step S22, based on the data compression method determined in step S21, since the absolute value of the signal generated by the haptic device is too small, if the original samples are directly transformed and quantized, large distortion will be generated. Therefore, it is necessary to amplify the DCT encoded signal by a certain scale factor.

[0063] The scaling formula is as follows:

[0064] S' ori (i)=S ori (i) M;

[0065] In the formula, M is the amplification factor, S ori (i) i...

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Abstract

The invention relates to a touch data hybrid compression system based on data characteristics and improved regression. The touch data hybrid compression system comprises an encoder and a decoder, the encoder performs DCT compression on the touch data, then amplifies and intercepts the DCT data, performs improved regression encoding on the data, and finally quantizes the data; and the decoder is used for carrying out inverse operation on the coded and transmitted data to obtain touch data. According to the method and system, the transmission efficiency can be effectively improved, meanwhile, the influence caused by distortion in the touch communication process can be eliminated, and the performance is greatly improved.

Description

technical field [0001] The invention relates to the technical field of tactile communication, in particular to a tactile data hybrid compression system based on data characteristics and improved regression. Background technique [0002] In recent years, people are gradually unable to be satisfied with the sense of immersion brought by audio-visual information, so the concept of touch has been proposed and applied in the field of multimedia communication. The process of human-computer interaction needs to rely on the transmission of tactile data. With higher data sampling rate and more degrees of freedom, the amount of tactile data increases rapidly, which puts forward higher requirements for tactile data compression algorithms. Traditionally, the transmission coding method based on dead zone characteristics and prediction, the coding method based on discrete cosine transform and other methods are used to solve this problem, but research shows that there is room for improveme...

Claims

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Application Information

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IPC IPC(8): G08B6/00H04N19/90H04N19/625H04N19/124H04N19/18
CPCG08B6/00H04N19/90H04N19/625H04N19/124H04N19/18Y02D10/00
Inventor 徐艺文黄良涛林擎旭赵铁松
Owner FUZHOU UNIV