A bit rate control method for multi-view texture video and depth map coding

Abstract

The invention discloses a code rate control method for encoding multi-viewpoint texture video and depth map. In the method, the target bit rate is given , the coding end is based on multi-view texture video and depth map coding, and performs code rate allocation between coded viewpoints, code rate allocation between texture video and depth map, code rate allocation at the rate control group of pictures (RCGOP) level, and texture Video and depth map (TD) unit-level bit rate allocation and frame-level bit rate allocation algorithm to achieve bit rate control. This method provides a general processing framework for bit rate control of multi-view texture video and depth map coding, which can improve bit rate control accuracy, reduce computational complexity, and improve coding efficiency.

Description

technical field [0001] The invention belongs to the technical field of multimedia communication, and in particular relates to an efficient code rate control method for multi-viewpoint texture video and depth map coding. Background technique [0002] In video transmission, the existing network bandwidth is limited and unstable, and with the popularity of high-definition video and three-dimensional (3D) video, the amount of video data is increasing, and network bandwidth resources are seriously insufficient. Only relying on high compression ratio to encode and transmit video will seriously reduce the video display quality. The bit rate control method of video coding can make full use of limited network resources, adjust the output bit rate of video encoder in real time, obtain the best balance between video quality and bandwidth utilization, and improve channel utilization. [0003] There are many representation methods for 3D video. Multi-viewpoint texture video and depth ma...

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Problems solved by technology

However, the disadvantage of this bit rate-distortion relationship is that since the coded texture video will be presented to the audience through the display, the above model only considers the distortion of the virtual drawing viewpoint, and does not consider the distortion of the encoded texture video. Moreover, By solving the limited equations between the encoding quantization step and the bit rate, the encoding quantization step is directly used for encoding, resulting in very inaccurate bit rate control, and as the video resolution increases, the bit rate control error further expands, Therefore, further corrections are required

[0010] In addition, Y. Morvan et al. pointed out in the literature [2]: at a given target bit rate, the quantization parameter Qp of the texture video and depth map is gradually adjusted every interval of 2 and encoded. This method can obtain the smallest virtual drawing Viewpoint distortion, but high computational complexity

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