A New Bit-Rate Control Algorithm for H.264 on the Basic Unit Layer

2014 ◽  
pp. 313-318 ◽  
Author(s):  
Huo-sheng Li ◽  
Zhi-wei Tang ◽  
Hai-lang Huang ◽  
Bo Zhao ◽  
Li Bin
Keyword(s):  
Rate Control ◽  
Control Algorithm ◽  
Basic Unit ◽  
Bit Rate ◽  
Unit Layer ◽  
Rate Control Algorithm

A Video Bit Rate Control Algorithm Based on Weighted Estimate of Image Brightness Difference

2013 ◽  
Vol 347-350 ◽  
pp. 844-848
Author(s):  
Hong Gao Zhu ◽  
Qi Feng
Keyword(s):  
Rate Control ◽  
Control Algorithm ◽  
Basic Unit ◽  
Absolute Difference ◽  
Video Code ◽  
Weighted Estimate ◽  
Bit Rate ◽  
Image Brightness ◽  
Unit Layer ◽  
Rate Control Algorithm

Rate control is the core issue to realize video encoder, and it is also one of the key factors determining the quality of video code system. Given the MAD (Mean Absolute Difference) prediction and the drawback of bit rate control in the BU (Basic Unit) layer, improvements are put forward on the basis of analyzing and researching the G012 rate control algorithms in this paper. In this paper, we proposed a new video bit rate control algorithm to overcome the drawback of bit rate control in the BU (Basic Unit) layer. Combined with the image brightness gradient value to estimate in the MAD prediction, the allocation encoding bits method based on the PSNR (Peak Signal to Noise Ratio) is proposed in the rate control of BU layer. The experiment results show that compared with JM algorithms in H.264 standard reference software, the improved algorithm is enhanced in the PSNR.

scholarly journals Region-of-interest-based rate control scheme for high-efficiency video coding

2014 ◽  
Vol 3 ◽  
Author(s):  
Marwa Meddeb ◽  
Marco Cagnazzo ◽  
Béatrice Pesquet-Popescu
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Control Algorithm ◽  
High Efficiency ◽  
Region Of Interest ◽  
Bit Allocation ◽  
Bit Rate ◽  
High Efficiency Video Coding ◽  
Control Scheme ◽  
Rate Control Algorithm

This paper presents a novel rate control scheme designed for the newest high efficiency video coding (HEVC) standard, and aimed at enhancing the quality of regions of interest (ROI) for a videoconferencing system. It is designed to consider the different regions at both frame level and coding tree unit (CTU) level. The proposed approach allocates a higher bit rate to the region of interest while keeping the global bit rate close to the assigned target value. The ROIs, typically faces in this application, are automatically detected and each CTU is classified in a region of interest map. This binary map is given as input to the rate control algorithm and the bit allocation is made accordingly. The algorithm is tested, first, using the initial version of the controller introduced in HEVC test model (HM.10), then, extended in HM.13. In this work, we first investigate the impact of differentiated bit allocation between the two regions using a fixed bit rate ratio in intra-coded frames (I-frames) and Bidirectionally predicted frames (B-frames). Then, unit quantization parameters (QPs) are computed independently for CTUs of different regions. The proposed approach has been compared to the reference controller implemented in HM and to a ROI-based rate control algorithm initially proposed for H.264 that we adopted to HEVC and implemented in HM.9. Experimental results show that our scheme has comparable performances with the ROI-based controller proposed for H.264. It achieves accurate target bit rates and provides an improvement in region of interest quality, both in objective metrics (up to 2 dB in PSNR) and based on subjective quality evaluation.

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

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 166 ◽  
Author(s):  
Tao Yan ◽  
In-Ho Ra ◽  
Qian Zhang ◽  
Hang Xu ◽  
Linyun Huang
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Control Algorithm ◽  
High Efficiency ◽  
Experimental Simulation ◽  
Average Error ◽  
Bit Rate ◽  
High Efficiency Video Coding ◽  
Q Model ◽  
Rate Control Algorithm

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%.

Bit-rate control algorithm on video packet coding and its characteristics

1991 ◽  
Vol 3 (4) ◽  
pp. 321-331 ◽  
Author(s):  
Tomoaki Tanaka ◽  
Hiroshi Haseyama ◽  
Katsutoshi Manabe ◽  
Fumio Kishimo
Keyword(s):  
Rate Control ◽  
Control Algorithm ◽  
Bit Rate ◽  
Video Packet ◽  
Rate Control Algorithm

scholarly journals Basic Unit Layer Rate Control Algorithm for H.264 Based on Human Visual System

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Xiao Chen ◽  
Haiying Liu
Keyword(s):  
Rate Control ◽  
Signal To Noise Ratio ◽  
Subjective Quality ◽  
Basic Unit ◽  
Motion Feature ◽  
Original Algorithm ◽  
Unit Layer ◽  
Rate Control Algorithm ◽  
Visual Characteristic

In the process of the video coding, special attention should be paid to the subjective quality of the image. In the JVT-G012 algorithm for H.264, the influence of the human visual characteristic in basic unit layer rate control was not taken into account. This paper takes the influence of the human visual characteristic into the full consideration and offers ways to improve the subjective quality of the image. The visual characteristic factor, which is constituted by the motion feature and edge feature, is used to reasonably allocate the target bits, and then its quantization parameter is adjusted by encoded frame information. The experimental results show that, in comparison to the original algorithm, the proposed algorithm can not only control the bit rate more accurately but also make the peak signal to noise ratio (PSNR) stable, so as to improve the stationarity of the video image. The subjective quality of the reconstructed video is more satisfying.

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