Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

System and method for video compression sensing and encoding based on measurement domain block classification

A video compression and perceptual coding technology, applied in the field of video coding, can solve the problems of unavailability of block classification method, unavailability of pixel domain signal and frequency domain signal at the coding end, etc., to increase the complexity and improve the rate-distortion performance.

Inactive Publication Date: 2013-10-02
XIDIAN UNIV
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The existing block classification methods usually use the mean variance in the pixel domain or the distribution characteristics of the frequency domain signal as the classification basis, but the pixel domain signal and the frequency domain signal at the encoding end of the video coding system based on compressed sensing are not available, and the existing block Classification methods are not available, so researching block classification methods on the measurement domain in compressive sensing-based video coding systems, different processing for different types of video blocks will help improve the rate-distortion performance of the system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • System and method for video compression sensing and encoding based on measurement domain block classification
  • System and method for video compression sensing and encoding based on measurement domain block classification
  • System and method for video compression sensing and encoding based on measurement domain block classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] Attached below figure 1 with figure 2 The present invention is described in further detail:

[0046] Step 1. Block Compression Sampling

[0047] will input image block or video block x b It is divided into sub-blocks of equal size and non-overlapping each other, and each sub-block is measured with a Gaussian random measurement matrix of the same size to obtain the measured value. A specific embodiment of the present invention is to further divide the video block to be sampled into four sub-blocks x b1 、x b2 、x b3 、x b4 , and the corresponding DCT domain signal is θ 1 , θ 2 , θ 3 , θ 4 , each sub-block is sampled with a Gaussian random measurement matrix of the same size, the sampling rate is MR=0.5, and the measurement domain signal y is obtained respectively 1 ,y 2 ,y 3 ,y 4 , the measurement domain signal is an m×1 column vector;

[0048] Step 2. Extract measurement domain feature image

[0049] The measurement domain signal of the sub-block is used a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a system and a method for video compression sensing and encoding based on measurement of domain block classification. The system comprises a block compression sampling module, a block classification module of a measurement domain, a sampling rate allocation module, a sampling number allocation and secondary measurement module and a reconstruction module. An encoding end divides an input video block into sub-blocks which are equal in size and not mutually overlapped, and each of the sub-blocks is measured by using the same random measurement matrix to obtain measurement domain signals; the block classification module of the measurement domain uses the measurement domain signals as row vectors of the matrix to obtain a measurement domain characteristic image, a correlation relation model between the measurement domain signals and frequency domain signals is built, judgment of the block classification is carried out on the measurement domain characteristic image according to the relation model, sampling rates are allocated to different types of video blocks, the sampling number allocation and secondary measurement module determines a measurement number and a measurement matrix according to the sampling rates and the video blocks, video signals are measured again by using the measurement matrix to obtain measurement signals, and the measurement signals are transmitted to the reconstruction module to reconstruct.

Description

technical field [0001] The invention belongs to the technical field of video coding, and mainly relates to a video coding system and method based on compressed sensing, in particular to a video compressed sensing coding system and method based on measurement domain block classification, which is used in a video coding system. Background technique [0002] In the H.264 standard video coding system, motion estimation is used to remove the temporal correlation of the video signal, and DCT transformation is used to remove the spatial correlation. In fact, further research has found that there are still DCT coefficients between intra-blocks and inter-blocks. Strong correlation, which is strengthened with the proximity of the spatial position of the block, we refer to this correlation as frequency domain correlation. [0003] The signal acquisition device based on compressed sensing uses compressed sensing technology to directly convert the analog optical signal into a compressed ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04N7/26H04N7/50
Inventor 宋彬尹东芹郭洁秦浩刘海啸
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com