scholarly journals Adaptive Rate Control Algorithm for H.264/AVC Considering Scene Change

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Xiao Chen ◽  
Feifei Lu
Keyword(s):  
Rate Control ◽  
Control Algorithm ◽  
Video Quality ◽  
Video Communication ◽  
Scene Change ◽  
Adaptive Rate Control ◽  
Adaptive Rate ◽  
Rate Control Algorithm ◽  
Additional Calculation

Scene change in H.264 video sequences has significant impact on the video communication quality. This paper presents a novel adaptive rate control algorithm with little additional calculation for H.264/AVC based on the scene change expression. According to the frame complexity quotiety, we define a scene change factor. It is used to allocate bits for each frame adaptively. Experimental results show that it can handle the scene change effectively. Our algorithm, in comparison to the JVT-G012 algorithm, reduces rate error and improves average peak signal-noise ratio with smaller deviation. It cannot only control bit rate accurately, but also get better video quality with the lower encoder buffer fullness to improve the quality of service.

A Novel Rate Control Algorithm for H.264/AVC Considering Frame Activity

2014 ◽  
Vol 543-547 ◽  
pp. 3096-3099
Author(s):  
Bo Tian ◽  
Yi Min Yang ◽  
Shu Ting Cai
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Control Algorithm ◽  
Video Quality ◽  
Bit Allocation ◽  
Video Sequences ◽  
Scene Change ◽  
Local Motion ◽  
Motion Activity ◽  
Rate Control Algorithm

Rate control has significant impact on the video coding. However, the conventional rate control algorithm in the latest video coding standard H.264 without take into account the human visual system and result in video quality fluctuation. To address this problem, we propose a novel rate control algorithm for H.264/AVC considering frame activity. First, a method is proposed to detect the scene change in frames of video sequences. Second, bit allocation to frame is related to the frame activity which is calculated on the local motion activity and scene change in frames. And in the MB level, the number of bits allocated to each MB is determined by its local motion activity. Experimental results show that the proposed rate control algorithm can increase average PSNR by 0.9137 comparisons with the JVT-G012, and reduces the bit-rate error by up to 0.06%.

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