Adaptive Bit Allocation for 3D Video Coding

Yang, Chao; An, Ping; Shen, Liquan; Liu, Deyang

doi:10.1007/s00034-016-0402-8

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…The accuracy of the code rate control is low because of the direct use of the H.264 rate control model. In 2016, Yang et al solved the bit rate of texture and depth, by combining the texture and depth virtual view distortion functions [16]. However, this method does not consider the efficiency of the bit rate of texture and depth, and the error of the bit rate control accuracy is lower than the average bit rate of 2.4%.…”

Section: Discussion Of the Pros And Cons Of The Various Approachesmentioning

confidence: 99%

A Novel Rate Control Algorithm Based on ρ Model for Multiview High Efficiency Video Coding

Yan

Zhang

et al. 2020

Electronics

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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%.

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Section: Discussion Of the Pros And Cons Of The Various Approachesmentioning

confidence: 99%

A Novel Rate Control Algorithm Based on ρ Model for Multiview High Efficiency Video Coding

Yan

Zhang

et al. 2020

Electronics

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“…Multi-view video coding often requires more complex and efficient coding technology and higher compression efficiency than single-view video coding such as H.264 / AVC, MPEG-2. 3DTV / FTV ( Three-dimensional television / Free-view television) will become the next-generation television technology after high-definition television (HDTV) [1][2]. But multi-view video coding (MVC) is still immature, and it is still a long way from the application.…”

Section: Introductionmentioning

confidence: 99%

Rate Control Based on Similarity Analysis in Multi-view Video Coding

Yan¹,

Liu²,

Chen³

et al. 2020

9th International Conference on Information Technology Convergence and Services (ITCSE 2020)

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As with previous single-view video coding, in order to promote the application of multi-view video coding, multi-view video coding also needs to study the appropriate rate control algorithm. Bit rate control has always been a difficult research topic in multi-view video coding. In multi-view video coding, there are 6 types of coded image, so the previous rate control algorithm for single-view video cannot be directly applied to multi-view video coding. The bit rate control is divided into a four-layer structure for bit rate control of multi-view video coding. Among them, the frame-layer code rate control considers the layer B frame and other factors to allocate the code rate, and the basic unit-layer code rate control uses different quantization parameters according to the content complexity of the macroblock. The average error between the actual bit rate and the target bit rate of the bit rate control algorithm can be controlled by 2.39%.

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“…The most prominent features of threedimensional television (3DTV) are interactivity and stereoscopic effect. Free viewpoint television (FTV)/3DTV has been widely used in the 3D film, advertisements, 3D games, and other fields [1][2]. However, the huge amount of original data of multi-view video brings enormous challenges to its storage, compression and transmission.…”

Section: Introductionmentioning

confidence: 99%

Rate Control Algorithm for Multiview Video Coding based on Human Visual Characteristics

Yan¹,

Zhang²,

Wen³

et al. 2018

IJPE

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In order to satisfy transmission and application, this paper illustrates the drawback of the current rate-distortion model and the characteristics of multi-view video coding (MVC). This paper proposes a bit allocation and rate control scheme for MVC based on frame complexity and human visual characteristics. Firstly, the proposed algorithm improves the quadratic rate-distortion (R-D) model. Then, the proposed algorithm reasonably allocates bit-rate among views based on frame complexity and human visual characteristics. This paper turns the bit allocation among views into a multi-objective optimization problem. Finally, this paper proposes a view layer and frame layer bit allocation algorithm for MVC according to frame complexity and the previously coded information. Simulation results show that the proposed algorithm can effectively control bit rate for MVC, where the average rate control error of our algorithm is 1.08%.

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Adaptive Bit Allocation for 3D Video Coding

Cited by 5 publications

References 23 publications

A Novel Rate Control Algorithm Based on ρ Model for Multiview High Efficiency Video Coding

A Novel Rate Control Algorithm Based on ρ Model for Multiview High Efficiency Video Coding

Rate Control Based on Similarity Analysis in Multi-view Video Coding

Rate Control Algorithm for Multiview Video Coding based on Human Visual Characteristics

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