“…However, its bit rate control error is relatively large, and the average bit rate control error is greater than 1%, which is not operable in practical applications. At the German Karlsruhe Institute of Technology, Bruno Boessio Vizzotto used a uniform buffer for both the right and left views in the bit rate control algorithm of stereo video coding, and then used MPEG-2 s code rate control model, termed TM5, to control the code flow rate [10]. However, the accuracy of the target bit allocation based on TM5 worsens with an increase in the encoding image type in the MVC.…”
Section: Discussion Of the Pros And Cons Of The Various Approachesmentioning
Most existing rate control algorithms are based on the rate-quantization (R-Q) model. However, with video coding schemes becoming more flexible, it is very difficult to accurately model the R-Q relationship. Therefore, in this study we propose a novel ρ domain rate control algorithm for multiview high efficiency video coding (MV-HEVC). Firstly, in order to further improve the efficiency of MV-HEVC, this paper uses our previous research algorithm to optimize the MV-HEVC prediction structure. Then, we established the ρ domain rate control model based on multi-objective optimization. Finally, it used image similarity to analyze the correlation between viewpoints, using encoded information and frame complexity to proceed in bit allocation and bit rate control of the inter-view, frame lay, and base unit. The experimental simulation results show that the algorithm can simultaneously maintain high coding efficiency, where the average error of the actual bit rate and the target bit rate is only 0.9%.
“…However, its bit rate control error is relatively large, and the average bit rate control error is greater than 1%, which is not operable in practical applications. At the German Karlsruhe Institute of Technology, Bruno Boessio Vizzotto used a uniform buffer for both the right and left views in the bit rate control algorithm of stereo video coding, and then used MPEG-2 s code rate control model, termed TM5, to control the code flow rate [10]. However, the accuracy of the target bit allocation based on TM5 worsens with an increase in the encoding image type in the MVC.…”
Section: Discussion Of the Pros And Cons Of The Various Approachesmentioning
Most existing rate control algorithms are based on the rate-quantization (R-Q) model. However, with video coding schemes becoming more flexible, it is very difficult to accurately model the R-Q relationship. Therefore, in this study we propose a novel ρ domain rate control algorithm for multiview high efficiency video coding (MV-HEVC). Firstly, in order to further improve the efficiency of MV-HEVC, this paper uses our previous research algorithm to optimize the MV-HEVC prediction structure. Then, we established the ρ domain rate control model based on multi-objective optimization. Finally, it used image similarity to analyze the correlation between viewpoints, using encoded information and frame complexity to proceed in bit allocation and bit rate control of the inter-view, frame lay, and base unit. The experimental simulation results show that the algorithm can simultaneously maintain high coding efficiency, where the average error of the actual bit rate and the target bit rate is only 0.9%.
“…However, the prediction characteristics according to the parallax between each viewpoint are allocated by bits. In the rate control algorithm of stereoscopic video coding, Vizzotto BB and others only considered the case of two left and right viewpoints [15], but MV-HEVC generally has more than five viewpoints, and there are many types of image coding. The accuracy of the target bit allocation method based on TM5 will continue to deteriorate, resulting in very high bit allocation errors and difficulty in controlling the bit rate.…”
Three-dimensional (3D) video scenes are complex and difficult to control, especially when scene switching occurs. In this paper, we propose two algorithms based on an incremental proportional-integral-derivative (PID) algorithm and a similarity analysis between views to improve the method of bit allocation for multi-view high efficiency video coding (MV-HEVC). Firstly, an incremental PID algorithm is introduced to control the buffer "liquid level" to reduce the negative impact on the target bit allocation of the view layer and frame layer owing to the fluctuation of the buffer "liquid level". Then, using the image similarity between views is used to establish, a bit allocation calculation model for the multi-view video main viewpoint and non-main viewpoint is established. Then, a bit allocation calculation method based on hierarchical B frames is proposed. Experimental simulation results verify that the algorithm ensures a smooth transition of image quality while increasing the coding efficiency, and the PSNR increases by 0.03 to 0.82dB while not significantly increasing the calculation complexity.
“…Yan and Ra [22] proposed slightly allocation algorithm based on similarity analysis among viewpoints for 3D video coding. Vizzotto et al considered only two viewpoints in the rate control algorithm for stereo video coding [23]. Because the algorithm was used in multi-view video coding, this type was based on TM5.…”
At present, the rate control algorithm for multiview high-efficiency video coding (MV-HEVC) does not have the capability of efficient coding tree unit(CTU) layer bit allocation, and the video quality varies greatly for sequences with sudden scene changes or large motions. To overcome this limitation, this paper proposes a rate control algorithm for MV-HEVC based on scene detection. Firstly, we established ρ domain rate control model based on multi-objective optimization. Then, it uses image similarity to make reasonable bit allocation among viewpoints. If the video scene is switched, the image similarity is recalculated, and then the correlation between the weights of the interview point rates and the correlation between the viewpoints are analyzed. Finally, the frame layer rate control considers the layer B-frame and other factors in allocating the code rate, and the basic unit layer rate control adopts different quantization methods according to the content complexity of the CTU. Experimental results show that the proposed rate control algorithm can maintain good coding efficiency and decrease the average video quality variation by 25.29%.
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