VBR rate control for perceptually consistent video quality

2008 ◽  
Vol 54 (4) ◽  
pp. 1912-1919 ◽  
Author(s):  
Bo Han ◽  
Bingfeng Zhou
Keyword(s):  
Author(s):  
M. TUN ◽  
K. K. LOO ◽  
J. COSMAS

Rate control plays an essential role in video coding and transmission to provide the best video quality at the receiver's end given the constraint of certain network conditions. In this paper, a rate control algorithm using the Quality Factor (QF) optimization method is proposed for the wavelet-based video codec and implemented on an open source Dirac video encoder. A mathematical model which we call Rate-QF (R - QF) model is derived to generate the optimum QF for the current coding frame according to the target bitrate. The proposed algorithm is a complete one pass process and does not require complex mathematical calculation. The process of calculating the QF is quite simple and further calculation is not required for each coded frame. The experimental results show that the proposed algorithm can control the bitrate precisely (within 1% of target bitrate in average). Moreover, the variation of bitrate over each Group of Pictures (GOPs) is lower than that of H.264. This is an advantage in preventing the buffer overflow and underflow for real-time multimedia data streaming.


2011 ◽  
Vol 20 (8) ◽  
pp. 2166-2176 ◽  
Author(s):  
Chan-Won Seo ◽  
Jong-Ki Han ◽  
T. Q. Nguyen

2014 ◽  
Vol 543-547 ◽  
pp. 3096-3099
Author(s):  
Bo Tian ◽  
Yi Min Yang ◽  
Shu Ting Cai

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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