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Method for controlling video code rate based on vision significance model

A bit rate control and video coding technology, which is applied in the field of video communication, can solve problems such as ambiguity and ignorance of human vision on images.

Active Publication Date: 2011-08-24
中电科安科技股份有限公司
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Problems solved by technology

The traditional bit rate allocation is based on the complexity of the image content, but it does not consider the degree of human vision to the image, which leads to the fact that many important areas in the image are not fully captured when the bit rate is limited. bit rate resource and blurred

Method used

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  • Method for controlling video code rate based on vision significance model
  • Method for controlling video code rate based on vision significance model
  • Method for controlling video code rate based on vision significance model

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Embodiment

[0049] The present embodiment adopts the reference software JM12.2 of H264 / AVC as codec, and video transmission adopts 3GPP / 3GPP2 wireless IP channel, and the following are the concrete steps of the embodiment of the present invention:

[0050] (1) According to the visual saliency model proposed in the article "Realistic avatar eye and head animation using a neurobiological model of visual attention" published by Itti et al. in the Proceedings of the 48th SPIE Annual Conference in 2003, using the image's own intensity, color, The characteristics of flickering, direction, motion, etc. are calculated separately to obtain various saliency subgraphs, and finally the saliency subgraphs of these five characteristics are fused to obtain the fused saliency diagram, and the saliency value SM of the pixel is calculated: SM = λ 1 ·I+λ 2 ·C+λ 3 ·F+λ 4 ·O+λ 5 M

[0051] Among them, λ 1 ,λ 2 ,λ 3 ,λ 4 ,λ 5 is the corresponding weighting coefficient, where the average value is 1, an...

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Abstract

The invention relates to the technical field of video communication, particularly relating to a method for controlling a video code rate based on a vision significance model, wherein the method comprises the following steps: building a significance model for a video image according to the character of the video image and the vision sensing character of human eyes and acquiring a significance area of a video scene according to the model; improving the existing H.264 frame code rate distribution mechanism according to the size of the significance area of the video scene, and calculating a target bit rate for distributing the current frame; in the macro block-level code rate distribution, building a macro block-level code rate distribution mechanism based on the significance model according to the texture information abundant degree, motion severe degree and significance of a currently coded macro block; and repeating the steps till the current frame is coded completely. According to the method, the code rate distribution is performed according to a visual selective attention mechanism of the human eyes and the significance of the video scene, the visual coding character of the human eyes is met, and the high quality of a subjective video image can be acquired under the condition of limited code rate.

Description

technical field [0001] The invention relates to the technical field of video communication, in particular to a method for controlling video coding rate based on a visual saliency model. Background technique [0002] The purpose of video coding is to use the lowest possible bit rate to obtain the highest possible user experience quality. The video coding bit rate control mechanism is to dynamically adjust the coding parameters of the encoded macroblocks according to the transmission channel rate and the buffer size. Make full use of the provided network resources, and effectively ensure that users get the best subjective and objective quality of experience while preventing congestion. The traditional bit rate allocation is based on the complexity of the image content, but it does not consider the degree of human vision to the image, which leads to the fact that many important areas in the image are not fully captured when the bit rate is limited. The code rate resources are ...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N19/146H04N19/154
Inventor 胡瑞敏阮若林陈皓夏洋王中元胡金晖
Owner 中电科安科技股份有限公司
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