Visual saliency based perception rate control method

A bit rate control and remarkable technology, applied in the field of video, can solve the problem that the human visual system cannot be well satisfied, and achieve the effect of low bit rate mismatch and improved subjective quality

Active Publication Date: 2018-05-22
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0005] Existing rate control technology has achieved a lot of results, but the existing technology still cannot satisfy the human visual system well, and further research is needed

Method used

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  • Visual saliency based perception rate control method

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] The VSPRC algorithm is tested in the HEVC reference software HM-13.0, and compared with the rate control algorithm performance of HM-13.0. Three sequences of BQSquare, ParkScene, and PartyScene were selected for bit rate mismatch testing, and nine official video sequences of BlowingBubbles, Cactus, Kimono1, ParkScene, PartyScene, PeopleOnStreet, RaceHorses, RaceHorsesC, and Traffic were selected for PSNR testing. For each sequence, several different target code rates are set for comparison, and the encoding structure adopts the Low Delay encoding structure. The actual code rate and PSNR of the two algorithms are counted.

[0043] The present invention comprises the following steps:

[0044] Step 1: Calculate the salient value of pixels and LCU

[0045] The present invention adopts the saliency model to calculate the saliency value of the pixel...

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Abstract

The invention provides a visual saliency based perception rate control method and relates to the technical field of a video. According to the method, a saliency value of each pixel is calculated; thesaliency value of an LCU (Largest Coding Unit) is calculated; the saliency value of the LCU is taken as distortion weight of the LCU; lambda is calculated; and a QP (Quantization Parameter) is calculated according to the lambda. The bit rate allocation is carried out by taking the visual saliency as the weight, so a PSNR of a saliency region is improved, the subjective quality of a reconstructed video saliency area is relatively good, and a bit rate error is relatively low. The PSNR of the saliency region is improved. The subjective quality of the saliency region is improved. The PSNR of a non-saliency region is reduced a little. The attention degree of eyes for a non-region of interest is relatively low, so the change of the subjective quality of the non-saliency region can be ignored.

Description

technical field [0001] The present invention relates to the field of video technology, especially a perceptual code rate control method Background technique [0002] A new generation of high-efficiency video coding HEVC (High Efficiency Video Coding) is the latest video coding standard. Bit rate control is to select a series of encoding parameters so that the actual bit rate after video encoding meets the limit of the target bit rate and minimizes encoding distortion. HEVC's rate control algorithm consists of two parts: bit allocation and quantization parameter determination, among which determining quantization parameters is the core of the rate control algorithm. Bit allocation uses a hierarchical strategy to allocate bits to coding units of different levels. The quantization parameter QP (Quantization Parameter) is directly determined by the λ of the R-λ model, and the R-λ model is λ=α·R β , α and β are encoding parameters related to the input video content, R represen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/147H04N19/154H04N19/167H04N19/172
CPCH04N19/147H04N19/154H04N19/167H04N19/172
Inventor 周巍张萌魏恒璐张冠文
Owner NORTHWESTERN POLYTECHNICAL UNIV
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