Sub-picture based rate control algorithm for achieving real time encoding and improved video quality for H.264 HD encoder on embedded video SOCs

2010 ◽  
Author(s):  
Naveen Srinivasamurthy ◽  
Soyeb Nagori ◽  
Girish Murthy ◽  
Satish Kumar
Keyword(s):  
Real Time ◽  
Rate Control ◽  
Control Algorithm ◽  
Video Quality ◽  
Time Encoding ◽  
Rate Control Algorithm

scholarly journals AN EFFICIENT RATE CONTROL ALGORITHM FOR A WAVELET VIDEO CODEC

2009 ◽  
Vol 07 (05) ◽  
pp. 567-585 ◽  
Author(s):  
M. TUN ◽  
K. K. LOO ◽  
J. COSMAS
Keyword(s):  
Rate Control ◽  
Control Algorithm ◽  
Essential Role ◽  
Video Quality ◽  
Optimization Method ◽  
Video Codec ◽  
Multimedia Data ◽  
Data Streaming ◽  
Rate Control Algorithm ◽  
Mathematical Calculation

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.

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%.

A rate control algorithm for MPEG-2 to H.264 real-time transcoding

2005 ◽  
Author(s):  
Jingyu Yang ◽  
Qionghai Dai ◽  
Wenli Xu ◽  
Rong Ding
Keyword(s):  
Real Time ◽  
Rate Control ◽  
Control Algorithm ◽  
Rate Control Algorithm

A direct non-buffer rate control algorithm for real time video compression

2014 ◽  
Vol 74 (17) ◽  
pp. 6623-6639 ◽  
Author(s):  
Yu Sun ◽  
Zhidan Feng ◽  
Reshma R. Ginnavaram
Keyword(s):  
Real Time ◽  
Video Compression ◽  
Rate Control ◽  
Control Algorithm ◽  
Rate Control Algorithm

Design of a High Definition Video Communication System in Real-Time Network

2013 ◽  
Vol 347-350 ◽  
pp. 2012-2017
Author(s):  
Yun Feng Liu ◽  
Xian Rong Peng ◽  
Zheng Jin
Keyword(s):  
Real Time ◽  
Rate Control ◽  
Communication System ◽  
Control Algorithm ◽  
Video Communication ◽  
High Definition ◽  
Time Performance ◽  
High Definition Video ◽  
Video Acquisition ◽  
Rate Control Algorithm

This paper presents the design of a high definition video communication system with real-time performance in the network. In order to process and transmit the high definition video, the design combines FPGA and SOC, follows the H.264 video coding compression. The FPGA realizes the highspeed video acquisition via Cameralink interface, and convert the raw image to ITU-R BT.1120 stream. The SOC contains CPU and Codec, it compresses the BT.1120 stream to H.264 steam and transmit the stream in the network. The low-delay rate control algorithm can limit the bitrate in a very low level. The result shows that the system reduces bandwidth and lowers the latency, the design is adaptable to the real time environments.

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