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.

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 A Novel Two-Level Rate Control Algorithm Based on Visual Attention for 360-Degree Video for Versatile Video Coding Standard

2020 ◽  
Author(s):  
Hoda Roodaki
Keyword(s):  
Visual Attention ◽  
Video Coding ◽  
Rate Control ◽  
Control Algorithm ◽  
Perceptual Quality ◽  
Motion Models ◽  
Proper Number ◽  
Rate Control Algorithm ◽  
Motion Complexity

Abstract 360-degree video is providing users with an interactive experience to explore the scenes freely. But, because only a small portion of the entire video, called viewport, is watched at every point in time, transmitting the entire video is bandwidth-consuming. Since, the perceptual quality of such video mainly depends on the quality of the viewport, more bandwidth should be assigned to these important parts of the scene. Hence, understanding how people observe and explore 360-degree content is essential. In this paper, we propose a new Two-level rate control algorithm which tries to allocate more bits for encoding the viewport parts of a 360-degree video. The head and eye movements of the observers is used to investigate the visual attention of people to detect the viewports. Then, a Coding Tree Unit (CTU) level rate assignment approach is proposed to assign a proper number of bits to each CTU of the viewport and non-viewport parts. It is assumed that higher motion complexity results in higher bitrates of the encoded video. So, we propose to assign the proper number of bits to each CTU according to its motion complexity. Another novel part of our proposed approach is proposing a new metric to parameterize the motion complexity of each CTU using the high-order motion models in Versatile Video Coding (VVC) standard. Experimental results show that our proposed rate control, on average, achieves 58.27% reduction in bitrate in the Bjøntegaard-Bitrate scales, compared to the standard VCC standard. Furthermore, the proposed scheme provides a significantly better subjective viewing quality compared to the-state-of-the-art methods.

scholarly journals A rate control technique for off line H.264/AVC video coding using subjective quality of video

2008 ◽  
Vol 54 (3) ◽  
pp. 1465-1472 ◽  
Author(s):  
S.L.P. Yasakethu ◽  
W.A.C. Fernando ◽  
S. Adedoyin ◽  
A. Kondoz
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Subjective Quality ◽  
Control Technique

Basic unit layer rate control for video security

2010 ◽  
Author(s):  
Tao Yan ◽  
Anyuan Deng ◽  
Woei-Jiunn Tsaur ◽  
Jia-Hong Li ◽  
Hsin-Chieh Tsai
Keyword(s):  
Rate Control ◽  
Basic Unit ◽  
Unit Layer ◽  
Video Security
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