An Improved Parametric Bit Rate Model for Frame-Level Rate Control in Video Coding

2011 ◽  
Author(s):  
Zhifeng Chen ◽  
Serhad Doken ◽  
Dapeng Wu
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Rate Model ◽  
Bit Rate

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 Evaluation and Analysis of Rate Control Methods for H.264/AVC and MPEG-4 Video Codec

2018 ◽  
Vol 8 (2) ◽  
pp. 1273
Author(s):  
Imran Ullah Khan ◽  
M. A. Ansari ◽  
S. Hasan Saeed ◽  
Kakul Khan
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Data Transfer ◽  
Model Verification ◽  
Video Codec ◽  
Control Analysis ◽  
Test Model ◽  
Bit Rate ◽  
Test Models ◽  
Verification Model

<p class="Default">Audio, image and video signals produce a vast amount of data. The only solution of this problem is to compress data before storage and transmission. In general there is the three crucial terms as, Bit Rate Reduction, Fast Data Transfer and Reduction in Storage. Rate control is a vigorous factor in video coding. In video communications, rate control must ensure the coded bitstream can be transmitted effectively and make full use of the narrow bandwidth. There are various test models usually suggested by a standard during the development of video codes models in order to video coding which should be suffienciently be efficient based on H.264 at very low bit rate. These models are Test Model Number 5 (TMN5), Test Model Number 8 for H.263, and Verification Model 8 (VM8) for MPEG-4 and H.264 etc. In this work, Rate control analysis for H.264, MPEG-4 performed. For Rate control analysis test model verification model version 8.0 is adopted.</p>

scholarly journals Evaluation and Analysis of Rate Control Methods for H.264/AVC and MPEG-4 Video Codec

2018 ◽  
Vol 8 (5) ◽  
pp. 2788
Author(s):  
Imran Ullah Khan ◽  
M. A. Ansari ◽  
S. Hasan Saeed ◽  
Kakul Khan
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Data Transfer ◽  
Model Verification ◽  
Video Codec ◽  
Control Analysis ◽  
Test Model ◽  
Bit Rate ◽  
Test Models ◽  
Verification Model

<p class="Default"><span>Audio, image and video signals produce a vast amount of data. The only solution of this problem is to compress data before storage and transmission. In general there is the three crucial terms as, Bit Rate Reduction, Fast Data Transfer and Reduction in Storage. Rate control is a vigorous factor in video coding. In video communications, rate control must ensure the coded bitstream can be transmitted effectively and make full use of the narrow bandwidth. There are various test models usually suggested by a standard during the development of video codes models in order to video coding which should be suffienciently be efficient based on H.264 at very low bit rate. These models are Test Model Number 5 (TMN5), Test Model Number 8 for H.263, and Verification Model 8 (VM8) for MPEG-4 and H.264 etc. In this work, Rate control analysis for H.264, MPEG-4 performed. For Rate control analysis test model verification model version 8.0 is adopted.</span></p>

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%.

Scene adaptive bit-rate control method on MPEG video coding

1997 ◽  
Author(s):  
Myungjin Lee ◽  
Soon-kak Kwon ◽  
Jae-Kyoon Kim
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Control Method ◽  
Bit Rate

Efficient rate control scheme for low bit rate H.264/AVC video coding

2009 ◽  
Vol 16 (2) ◽  
pp. 103-107 ◽  
Author(s):  
Zhi-cheng LI ◽  
Yong-jun ZHANG ◽  
Tao LIU ◽  
Wan-yi GU
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Bit Rate ◽  
Low Bit Rate ◽  
Control Scheme
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