首页 | 本学科首页   官方微博 | 高级检索  
     


Improved macroblock level rate control for the spatially scalable extension of H.264/AVC
Affiliation:1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China;2. Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK;1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China;2. School of Computing, National University of Singapore, Singapore;1. Department of Computer Science, University of California, Irvine, USA;2. School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, China;3. Faculty of Information and Communication Technology, Mahidol University, Thailand;1. School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, Guangdong 510006, China;2. Department of Computer Science, Rutgers University, NJ 08854-8019, USA;3. School of Computer Engineering, Nanyang Technological University, 639798 Singapore, Singapore;4. School of Electronic Engineering, Xidian University, Xi’an, Shaanxi 710071, China;5. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong 510642, China;1. Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, Guangdong, China;2. University of Virginia, Department of ECE, Charlottesville, VA 22904, USA;3. BJUT Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China;1. College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China;2. Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan
Abstract:An improved rate control algorithm, designed for scalable video coders incorporating interlayer prediction, is proposed. Firstly, a Rate Distortion (RD) model for interlayer prediction involving the spatial enhancement layers is devised. An optimised Mean Absolute Difference (MAD) prediction model for the spatial enhancement layers that considers both the MAD from the spatial base layer in the same frame and the MAD from the corresponding macroblock in previous frames is also proposed. Simulation results show that the resulting algorithm produces accurate rate control with an average bit rate error of less than 0.26%. Compared with the JVT-W043 default rate control algorithm of the JSVM, the proposed algorithm improves the average PSNR by up to 0.53 dB or reduces the bit rate by an average of 10.95%. Furthermore, the proposed algorithm can be combined with the existing rate control scheme for H.264/AVC, resulting in further improvements.
Keywords:Interlayer prediction  MAD prediction  Rate control  Scalable video coding
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号