Multi-view video transmission error control method for rate distortion optimization dynamic regulation

A rate-distortion optimization and multi-view video technology, applied in the field of video coding and processing, can solve the problems of not using unequal protection measures, and achieve the effect of enhancing transmission robustness and reducing diffusion

Inactive Publication Date: 2010-11-17
SOUTHWEST JIAOTONG UNIV
View PDF0 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method uses rate-distortion optimization in the process of encoding and transmission, but does not adjust the Lagrangian multipliers, and does not use asymmetric protection measures, so it is not suitable for multi-view video encoding

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
  • Multi-view video transmission error control method for rate distortion optimization dynamic regulation
  • Multi-view video transmission error control method for rate distortion optimization dynamic regulation
  • Multi-view video transmission error control method for rate distortion optimization dynamic regulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0076] The present invention will be further described in detail below in combination with a specific embodiment. For the convenience of explanation and without loss of generality, the following assumptions are made:

[0077] Assuming that the resolution of the coded image is 640*480, the number of macroblocks is 40*30, numbered 1-1200 in row order;

[0078] Assume that the encoding framework used in this embodiment is figure 2 The frame shown, and the coded frame is the second key frame of viewpoint 1 (ie figure 2 Middle point of view V 1 at T 8 frame at time), whose reference frame is the second key frame of viewpoint 0 (ie figure 2 Middle point of view V 0 at T 8 time frames).

[0079] Assume that the most frequent packet loss rate of the channel is 20%, and the current packet loss rate is 10%.

[0080] It is assumed that the masking method is to replace the image with the same region at the same moment, that is, after the data in a certain region is lost, the sa...

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 multi-view video transmission error control method for rate distortion optimization dynamic regulation. The method comprises the following steps of: estimating end-to-end distortion of a key frame and a non-key frame in a KS-IPP coding framework for predicting views in the key frame by using different estimation methods, wherein the end-to-end distortion of the key frame is estimated by a distortion method combined by channel simulation and rapid estimation; and the end-to-end distortion of the non-key frame is estimated by using a conventional recurrence-based distortion estimation method; combining the estimated end-to-end distortion and rate distortion optimization technology; and realizing the dynamic regulation of the rate distortion optimization through the dynamic change of the end-to-end distortion and the dynamic regulation of Lagrangian multiplier. The method has the advantages of effectively reducing the dispersion of the transmission error among the views, enhancing the transmission robustness of the multi-view video stream and thus adapting to the video transmission under lossy network environment well.

Description

Technical field [0001] The invention belongs to the field of video coding and processing, and in particular relates to the research of error control algorithms in the multi-viewpoint video compression coding process. Background technique [0002] Traditional single-view video is a video signal obtained by shooting a certain scene with a single camera, and the shooting angle of the camera is fixed at a certain moment. Although the current advances in various single-view coding technologies have improved the quality and coding efficiency of video images, they still haven't fundamentally changed the plane description form of the scene. The multi-viewpoint video is a set of video signals obtained by shooting the same scene from different angles by the camera array. Compared with the single-viewpoint video, the multi-viewpoint video can obtain the three-dimensional information of the scene, so as to reproduce the stereoscopic scene more vividly. It can be predicted that multi-vi...

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 Applications(China)
IPC IPC(8): H04N7/64H04N7/26H04N7/32H04N19/89H04N19/154H04N19/19
Inventor 彭强张庆明
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap