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Code rate control method based on video image segmentation technology

A video image and bit rate control technology, applied in image communication, digital video signal modification, television, etc., can solve the problems of inability to distinguish the attention of human eyes and inability to improve subjective quality

Inactive Publication Date: 2010-09-08
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After all, the above methods cannot distinguish which areas are areas of high attention to the human eye, and allocate more bits; on the contrary, areas with low attention and high attention are not treated differently, and cannot improve subjective quality

Method used

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  • Code rate control method based on video image segmentation technology
  • Code rate control method based on video image segmentation technology
  • Code rate control method based on video image segmentation technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0105] The code rate control method based on video image segmentation technology is based on figure 1 The program block diagram shown is programmed on a PC test platform with Athlon x22.0GHz CPU and 1024M memory. figure 2 Is the JM10.2 verification model compared with the number of bits used in the I frame in this encoding algorithm; image 3 with Figure 4 Comparison of the JM10.2 check model and the number of bits used in the P frame in this encoding algorithm; Figure 5-7 A comparison of the JM10.2 verification model with this coded image.

[0106] see figure 1 , the code rate control method based on video image segmentation technology, by using the existing video image segmentation method, segment moving objects and different texture images in the video. Then improve the rate control algorithm of frame layer and macroblock layer according to this motion model. Finally, the moving object detection scene is used to switch frames and adjust its quantization parameters. ...

Embodiment 2

[0115] This embodiment is basically the same as Embodiment 1, and the special features are as follows:

[0116] The motion model establishment process of above-mentioned step (2) is as follows:

[0117] ① Use some video moving object segmentation technology in video image processing to obtain the moving object in each frame, and use the parameter Mv(i, j) to indicate whether the current (i, j) pixel is located on the moving object.

[0118] ② Use video image processing technology to obtain video texture segmentation images, and classify the parts with the same texture into the same area. These regions themselves are independent, connected, and closed, and the collection of all regions constitutes a frame of image. Use the parameter M to record the number of all texture types, and Region(i, j) represents the serial number of the texture region where each pixel (i, j) is located, where Region(i, j)∈[1, M].

[0119] Above-mentioned steps (3) I frame code rate control algorithm ...

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Abstract

The invention relates to a code rate control method based on video image segmentation technology. In the method, based on the existing video image segmentation technology, the bit number is redistributed and the quantization parameters are adjusted. The method is characterized by firstly computing the motion complexity coefficient by utilizing an obtained moving object segmentation diagram and adjusting the code rate control algorithm of an I frame / P frame; then computing the motion complexity of macro blocks by utilizing the moving object segmentation diagram and a texture segmentation diagram and adjusting the quantization parameters of the macro blocks after entering the macro block level code rate control algorithm; and finally detecting a scene change frame by utilizing a motion model and correspondingly adjusting the quantization parameters of the scene change frame. By adjusting the code rate control algorithm based on the video image segmentation method, the quality of the decoded images in the low bandwidth or high bandwidth is correspondingly improved and distortion in the region with violent motion is reduced.

Description

technical field [0001] The invention relates to a code rate control method based on video image segmentation technology, which uses the existing video image segmentation technology to find moving objects in video and obtain video texture segmentation images. Based on the obtained two different video segmentation images, the rate control algorithm is improved, so that the improved rate control method can allocate the number of video coding bits according to the visual characteristics, and improve the video coding quality. Background technique [0002] Video coding algorithm is to use various methods to reduce data redundancy, so as to achieve data compression. In the existing video coding and decoding algorithms, there are effective compression methods for video temporal correlation, spatial correlation, and temporal statistical characteristics. For example, motion estimation is used to remove temporal correlation redundancy, and only the image residual value obtained throug...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N19/114H04N19/124H04N19/167H04N19/176
Inventor 石旭利潘琤雯张兆扬魏小文
Owner SHANGHAI UNIV
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