QP initialization and adaptive MAD prediction for rate control in HEVC-based multi-view video coding

Lim, Woong; Bajić, Ivan V.; Sim, Donggyu

doi:10.1109/ivmspw.2013.6611925

Cited by 4 publications

(1 citation statement)

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“…Some of these methods use a large number of statistics to find the connection between the buffer filling degree and the quantization level; some adjust the quantization level directly according to the buffer level; some find a function that reflects the subjective quality and is then optimized according to the constraints of the buffer to find the corresponding relationship between the buffer filling degree and the quantization level. However, the effective rate allocation of multi-view video coding (MVC) is not only reasonable allocation of code rates between different frames but must also be reasonably distributed between the various viewpoints [4]. It is well known that for the same video, the bit rate assigned to the I frame will be greater than that assigned to the B frame.…”

Section: Introductionmentioning

confidence: 99%

Bit Allocation Algorithm based on SSIM for 3D Video Coding

Yan¹

2019

IJPE

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The 3D video system has broad application prospects and has become a new research hotspot at home and abroad in the video field. However, there are still many problems in multi-view video coding rate control in a three-dimensional video system. Therefore, this paper proposes a rate allocation algorithm based on structural similarity index measurement (SSIM) for 3D video coding. In this paper, we first analyze the correspondence between the weights of inter-view rate and the correlation between viewpoints, and then we establish the multi-view video main view and non-main view bit allocation calculation model. Finally, the view layer, frame layer, and macro block layer respectively perform bit allocation and rate control. The experimental results show that the proposed method can effectively control the bit rate of multi-view video coding while maintaining the multi-view video coding quality under limited bandwidth compared with the existing view layer fixed ratio allocation rate.

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Section: Introductionmentioning

confidence: 99%