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

Low-delay video coding adaptive Qp cascade method

A video coding, low-latency technology, applied in the field of video coding

Active Publication Date: 2017-12-01
FUZHOU UNIV
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the purpose of the present invention is to provide an adaptive Qp cascading method for low-delay video coding, which solves the Qp allocation problem of different layers in video coding, and achieves the purpose of rate-distortion optimization

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
  • Low-delay video coding adaptive Qp cascade method
  • Low-delay video coding adaptive Qp cascade method
  • Low-delay video coding adaptive Qp cascade method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0066] This embodiment provides an adaptive Qp cascading method for low-delay video coding, including the following steps:

[0067] Step S1: Dividing the video sequence into multiple image groups, constructing a hierarchical structure of the image groups, each image group is composed of 4 frames, which are respectively at different levels;

[0068] Step S2: Deriving a rate-distortion optimization model according to the dependencies between different layers and image groups;

[0069] Step S3: Introduce relevant models, transform the rate-distortion optimization model into the problem of solving the optimal Qp, and at the same time update the model parameters to adapt the model to different video sequences; and refer to the Lagrangian multiplier Λ and the Newton-Raphson method to solve The best Qp of each layer of the model, reasonably allocate the Qp of...

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 low-delay video coding adaptive Qp cascade method. Firstly a video sequence is divided into multiple image groups, the layered structure of the image groups is constructed, and each image group is composed of four frames which are arranged at different layers; then a rate distortion optimization model is derived according to the dependency between different layers and the dependency between the image groups; then a correlation model is introduced, the rate distortion optimization model is converted into the problem of solving the optimal Qp, and the model is enabled to be adaptive to different video sequences by updating the model parameters; and finally the optimal Qp of each layer of the model is solved by introducing the Lagrangian multiplier ^ and the Newton-Raphson method, the Qp of each frame is reasonably allocated and thus rate distortion optimization can be realized. The adaptive cascade algorithm for low-delay video coding is put forward for mainly solving the problem of allocation of low-delay video coding.

Description

technical field [0001] The invention relates to the technical field of video coding, in particular to an adaptive Qp cascading method for low-delay video coding. Background technique [0002] Compared with H.264, in order to further improve the coding efficiency under the premise of the same coding quality, the HEVC (High Efficiency Video Coding) standard proposes many new technologies. These include a new prediction structure, larger coding tree units, more intra prediction modes, and the adoption of a layered coding structure, which allows different layers to use different Qp. However, in the description of the HEVC standard, it is not clearly stated in the guarantee How to determine the best Qp when the (average quantization parameter of the image group) remains unchanged. In the existing schemes, such as the static Qp cascading scheme, which is inspired by a large number of experimental data, maintaining a fixed Qp setting cannot adapt to different video sequences, wh...

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): H04N19/114H04N19/147H04N19/19
CPCH04N19/114H04N19/147H04N19/19
Inventor 徐艺文李林贵李棋赵铁松范振嘉
Owner FUZHOU 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