Monitoring video-oriented high-efficiency video coding standard quantization parameter cascading method

A technology for high-efficiency video coding and quantization parameters, which is applied in the field of video coding and can solve the problems of complex model parameter acquisition methods.

Active Publication Date: 2021-01-12
XIAN UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the model parameters of most quantization parameter cascading methods are obtained in a complicated manner, such as obtaining through precoding and motion estimation. Such a complicated calculation process is not suitable for video applications such as video surveillance systems that require high real-time performance.

Method used

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  • Monitoring video-oriented high-efficiency video coding standard quantization parameter cascading method
  • Monitoring video-oriented high-efficiency video coding standard quantization parameter cascading method
  • Monitoring video-oriented high-efficiency video coding standard quantization parameter cascading method

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Embodiment 1

[0066] exist figure 1 Among them, the monitoring video-oriented high-efficiency video coding standard quantization parameter concatenation method of this embodiment consists of the following steps:

[0067] (1) Determine the quantization parameters of the first frame and encode

[0068] Set the quantization parameter QP of the first frame in the encoding configuration file I , QP I ∈{1,2,...,51}, using QP I Encode frame 1.

[0069] (2) Determine the quantization parameters of the first two image groups and encode them

[0070] Quantization parameter QP of frame P in the first two picture groups ξ,P Determine according to formula (1):

[0071]

[0072] where P represents the display order of frames in the image group, P ∈ {1,2,...,gs}, gs represents the size of the image group, using QP ξ,P Encode the first two GOP frames.

[0073] (3) Determine the optimal reference frame probability of the second image group frame

[0074] The probability that the Pth frame in the...

Embodiment 2

[0117] The monitoring video-oriented high-efficiency video coding standard quantization parameter cascading method of the present embodiment consists of the following steps:

[0118] In the step (4) of determining the average standard deviation of the first frame and the first two image groups of the present invention, the standard deviation is calculated as a basic unit with a square pixel block whose side length is bs, bs ∈ {2,4,8, 16, 32, 64}, the value of bs in this embodiment is 2, and the other steps of this step are the same as in embodiment 1.

[0119] In determining the parameter step (5) relevant to frame distortion of the present invention, the parameter α relevant to frame distortion is determined by formula (4):

[0120] α=f 1 ν+h 1 (4)

[0121] where f 1 , h 1 is the model parameter, f 1 ∈ [0.01,1], h 1 ∈[0.01,0.7], the f of this embodiment 1 The value is 0.01, h 1 The value is 0.01.

[0122] In determining the parameter step (6) relevant to the frame ...

Embodiment 3

[0142] The monitoring video-oriented high-efficiency video coding standard quantization parameter cascading method of the present embodiment consists of the following steps:

[0143] In the step (4) of determining the average standard deviation of the first frame and the first two image groups of the present invention, the standard deviation is calculated as a basic unit with a square pixel block whose side length is bs, bs ∈ {2,4,8, 16, 32, 64}, the value of bs in this embodiment is 64, and other steps of this step are the same as in embodiment 1.

[0144] In determining the parameter step (5) relevant to frame distortion of the present invention, the parameter α relevant to frame distortion is determined by formula (4):

[0145] α=f 1 ν+h 1 (4)

[0146] where f 1 , h 1 is the model parameter, f 1 ∈ [0.01,1], h 1 ∈[0.01,0.7], the f of this embodiment 1 The value is 1, h 1 The value is 0.7.

[0147] In determining the parameter step (6) relevant to the frame code ra...

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Abstract

The invention discloses a monitoring video-oriented high-efficiency video coding standard quantization parameter cascading method. The method comprises the steps: determining and encoding quantizationparameters of a first frame, determining and encoding quantization parameters of first two image frames, determining an optimal reference frame probability of a second image frame, determining an average standard deviation between the first frame and the first two image frames, determining parameters related to frame distortion, determining parameters related to a frame code rate, determining anaverage inter-frame difference of the first two image frames, determining parameters of an inter-frame reference frame, determining Newton-Raphson parameters, determining a quantization parameter offset greater than or equal to a quantization parameter offset of a third image frame, and encoding a frame greater than or equal to the third image frame. The method solves the problems that in the prior art, coding dependence between video frames is not comprehensively considered, model parameter acquisition in the prior art is complex, and the method is not suitable for monitoring video coding. The method has the advantages of high coding rate distortion performance, simple model parameter calculation, small coding time delay and the like, and can be applied to the technical field of monitoring video coding.

Description

technical field [0001] The invention belongs to the technical field of video coding, and in particular relates to a high-efficiency video coding standard quantization parameter cascading method for monitoring video. Background technique [0002] Video surveillance systems have been widely used in various fields such as public security, smart transportation, and smart home, and play an increasingly important role in all aspects of my country's national economic life. In the video surveillance system, the original surveillance video collected is very large, and the surveillance video data can be effectively transmitted and stored on the network only after video coding processing. The purpose of video coding is to obtain higher quality coded reconstructed video with less coding bit rate. [0003] At present, with the popularization of high-definition surveillance video equipment, high-efficiency video coding standards for high-definition video are widely adopted. When the hig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/124H04N19/70
CPCH04N19/124H04N19/70
Inventor 公衍超杨豆豆杨楷芳刘颖林庆帆王富平
Owner XIAN UNIV OF POSTS & TELECOMM
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