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

A Distributed Video Compression Sensing Reconstruction Method Based on Temporal Correlation

A compressed sensing reconstruction and distributed video technology, which is applied in digital video signal modification, image communication, electrical components, etc., can solve the problems of not fully considering the time correlation of non-key frames of video, so as to reduce the system reconstruction time, The effect of reducing the number of measurements and improving practical value

Active Publication Date: 2019-08-23
NANJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method solves the problem that the time correlation of video non-key frames is not fully considered in the existing distributed video compression sensing process

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
  • A Distributed Video Compression Sensing Reconstruction Method Based on Temporal Correlation
  • A Distributed Video Compression Sensing Reconstruction Method Based on Temporal Correlation
  • A Distributed Video Compression Sensing Reconstruction Method Based on Temporal Correlation

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0033] Below in conjunction with accompanying drawing, technical solution of the present invention is described in detail, specific embodiment is as follows:

[0034] Such as figure 1 As shown, the present invention provides a distributed video compression sensing reconstruction method based on temporal correlation, and the specific steps of the method are as follows:

[0035] Input: video sequence, each frame has I c × I r pixels (the image has I c pixels, each column has I r pixels);

[0036] Step 1: Split the original video stream into several image groups (Group of Picture, GOP) with a length of G, and the first frame of each group is x 0 is the key frame, and the remaining frames {x1 ,x 2 ,...,x t ...,x G-1} is a non-keyframe;

[0037] Step 2: Divide each non-key frame into small blocks, and the length and width of each block are B;

[0038] Step 3: Calculate the residual x of each non-key frame in an image group from the previous frame r =x t -x t-1 ;

[00...

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 discloses a distributed video compression sensing reconstruction method based on time correlation. On the basis of establishing a distributed video compression sensing model without feedback, the method makes full use of the time correlation between non-key frames of video frames, performs pattern discrimination on each block of the non-key frames, and transmits the non-key frames with the residual encoding of the previous frame; and during the reconstruction, the reconstruction mode with edgeless information is adaptively selected according to the result of the mode discrimination, and the block of each non-key frame is reconstructed, thereby avoiding unnecessary calculation of the side information. The method utilizes the previous frame of the current frame for reconstruction instead of simply using the key frame as a reference frame for reconstruction, so that the time correlation between the video frames can be effectively utilized. The method can guarantee the reconstruction quality of the video at the same total sampling rate, while reducing the system reconstruction time, and no feedback channel is used.

Description

technical field [0001] The invention relates to a distributed video compression perception reconstruction method based on time correlation, and belongs to the technical field of video image processing. Background technique [0002] Due to the complexity of video signal processing and the large transmission traffic, for the application environment lacking power and communication network infrastructure, the existing video surveillance system cannot meet the application needs. Compressive Sensing (CS) technology deeply mines the sparsity inside the video signal, extracts the low-dimensional projection of the original signal through the undersampling method, and uses optimization or iteration to complete the reconstruction of the original signal with high probability. Applying CS to Distributed Video Coding (DVC) produces Distributed Compressive Video Sensing (DCVS), which saves storage space, reduces coding complexity, and improves the quality of video images. [0003] At pres...

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
Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/90H04N19/70H04N19/593H04N19/176H04N19/146H04N19/503
Inventor 张登银杨阳赵烜薛睿赵莎莎季航
Owner NANJING UNIV OF POSTS & TELECOMM
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