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

Self-adaptation threshold value video streaming multi-texture-direction error concealment method

An adaptive threshold and error concealment technology, applied in the field of approximate recovery or error concealment of error information blocks, can solve the problems of excessive threshold setting, discontinuous edge, easy generation of false edges, etc., to achieve the effect of ensuring smoothness

Inactive Publication Date: 2014-06-11
JIANGXI UNIV OF SCI & TECH
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0018] The threshold in the Sobel edge detection algorithm depends on the gray level information of the entire image pixel. If the threshold is set too small, it is easy to generate false edges; if the threshold is set too large, it is easy to make the edge intermittent.

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
  • Self-adaptation threshold value video streaming multi-texture-direction error concealment method
  • Self-adaptation threshold value video streaming multi-texture-direction error concealment method
  • Self-adaptation threshold value video streaming multi-texture-direction error concealment method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] The invention will be further illustrated by the following examples.

[0082] 1. Experimental simulation platform and environment

[0083] The video simulation test sequence adopts 4 standard sequences in QCIF format such as foreman, highway, carphone and coastguard, and its specifications are all 176×144, using the scattered mode in the flexible macroblock arrangement (FMO). Since the present invention only studies the spatial error The algorithm is hidden, so the coding sequence adopts full I-frame coding, the coding length is 50 frames, the code rate is 30fps, the quantization parameter QP=28, and the output packet stream format is RTP. At the same time, the MobileIP simulation channel packet loss program is used to simulate network packet loss. MobileIP uses its own error mode 18681.3, and the loss rate is about 30% to 40%. The experimental results and experimental data of the present invention are under the environment of Intel Core, CPU T6500@2.1GHz, 2GB of memor...

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 self-adaptation threshold value video streaming multi-texture-direction error concealment method which is characterized in that based on an improved self-adaptation threshold value Sobel edge detection algorithm, interpolation directions of pixel points in error macro blocks are determined in a self-adaptation mode by detecting possible edge directions of adjacent blocks of the error macro blocks in cooperation with a boundary pixel difference value cost function, then the direction interpolation is carried out on the pixel points in the error macro blocks to recover the error macro blocks, edge information can be accurately extracted, lost macro blocks can be recovered in a self-adaptation mode, and the smoothness of recovered video images can be guaranteed. Compared with an H.264 standard error concealment algorithm, the self-adaptation threshold value video streaming multi-texture-direction error concealment method has the advantages that both subjective vision judgment and objective numerical calculation of the video image concealment effect are improved to a certain degree.

Description

technical field [0001] The invention belongs to the field of video image processing, and relates to an approximate recovery or error concealment method for error information blocks in H.264 decoded video images. Background technique [0002] The H.264 video compression coding standard is a new generation of video compression coding standard jointly developed by the Video Coding Experts Group (VCEG) of the International Telecommunication Union (ITU-T) and the Motion Experts Group (MPEG) of the International Organization for Standardization (ISO / IEC). . While H.264 brings a high compression ratio and good network affinity, since the amount of information received by the receiving end is reduced, the redundancy between image sequences is reduced, making the coded stream more sensitive to errors, so that any The loss or error of one bit may lead to the spread of bit errors, which will easily reduce the quality of the received video image. [0003] Error concealment technology ...

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): H04N19/65H04N19/895
Inventor 张小红胡婷钟小勇
Owner JIANGXI UNIV OF SCI & TECH
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