分布式视频编码中基于滑窗的自适应相关估计方法Sliding-window based adaptive correlation estimation method for distributed video coding
朱蓉蓉,方勇
摘要(Abstract):
信源与边信息之间的相关建模和参数估计一直是分布式视频编码的关键环节。在分布式视频编码中,相关噪声分布是非平稳的,会随着场景序列而动态变化,如何准确地预测和追踪相关参数十分重要。为了充分发挥分布式信源编码的优势,提出一种基于滑窗的自适应相关估计方法。该方法将滑窗的思想嵌入到基于LDPCA码的Slepian-Wolf解码器中,结合边信息和码流在线估计图像信源之间的相关参数,且能够自适应地选择是否进行重估,进而优化联合比特面置信传播迭代译码。实验结果表明,以先进的分布式视频编码方案DISCOVER作为基准,使用所提方法的方案在保持较低编码复杂度的情况下提高系统的率失真性能。
关键词(KeyWords): 分布式视频编码;相关估计;置信传播算法;联合比特面解码;LDPCA码;分布式信源编码
基金项目(Foundation): 国家自然科学基金项目资助:算术码码谱及其应用研究(61271280)~~
作者(Author): 朱蓉蓉,方勇
DOI: 10.16652/j.issn.1004-373x.2018.06.007
参考文献(References):
- [1]AARON A,ZHANG R,GIROD B.Wyner-Ziv coding of motion video[C]//Proceedings of 36th Asilomar Conference on Signals,Systems and Computers.Pacific Grove:IEEE,2002:240-244.
- [2]PURI R,RAMCHANDRAN K.PRISM:a new robust video coding architecture based on distributed compression principles[C]//Proceedings of 40th Allerton Conference on Communication,Control and Computing.[S.l.:s.n.],2002,6:379-381.
- [3]WYNER A,ZIV J.The rate-distortion function for source coding with side information at the decoder[J].IEEE transactions on information theory,1976,22(1):1-10.
- [4]SLEPIAN D,WOLF J K.Noiseless coding of correlated information sources[J].IEEE transactions on information theory,1973,19(4):471-480.
- [5]方勇,宋娟,霍迎秋,等.分布式信源编码:基础与前沿[M].北京:国防工业出版社,2015:6-7.FANF Y,SONG J,HUO Y Q,et al.Distributed source coding:foundation and advanced technology[M].Beijing:National Defense Industry Press,2015:6-7.
- [6]BRITES C,PEREIRA F.Correlation T noise modeling for efficient pixel and transform domain Wyner-Ziv video coding[J].IEEE transactions on circuits and systems for video technology,2008,18(9):1177-1190.
- [7]FAN X,AU O C,CHEUNG N M.Adaptive correlation estimation for general Wyner-Ziv video coding[C]//Proceedings of IEEE International Conference on Image Processing.Cairo:IEEE,2009:1397-1400.
- [8]WOLF A,MATTHéM,FETTWEIS G.Improved source correlation estimation in wireless sensor networks[C]//Proceedings of IEEE International Conference on Communication Workshop.London:IEEE,2015:2121-2126.
- [9]TAHERI Y M,AHMAD M O,SWAMY M N S.A study on compression rate bounds in distributed video coding based on correlation noise models[C]//Proceedings of IEEE International Symposium on Circuits and Systems.Montreal:IEEE,2016:2691-2694.
- [10]FANG Y.LDPC-based lossless compression of nonstationary binary sources using sliding-window belief propagation[J].IEEE transactions on communications,2012,60(11):3161-3166.
- [11]FANG Y.Asymmetric Slepian-Wolf coding of nonstationarilycorrelated M-ary sources with sliding-window belief propagation[J].IEEE transactions on communications,2013,61(12):5114-5124.
- [12]ARTIGAS X,ASCENSO J,DALAI M,et al.The DISCOVER codec:architecture,techniques and evaluation[C]//Proceedings of Picture Coding Symposium.Lisbon:EURASIP,2007:1103-1120.
- [13]VARODAYAN D,AARON A,GIROD B.Rate-adaptive distributed source coding using low-density parity-check codes[C]//Proceedings of 39th Asilomar Conference on Signals,Systems and Computers.Pacific Grove:IEEE,2005:1203-1207.
- [14]VARODAYAN D,CHEN D,FLIERL M,et al.Wyner-Ziv coding of video with unsupervised motion vector learning[J].Signal processing:image communication,2008,23(5):369-378.
- [15]ASCENSO J,BRITES C,PEREIRA F.Content adaptive Wyner-Ziv video coding driven by motion activity[C]//Proceedings of IEEE International Conference on Image Processing.Atlanta:IEEE,2006:605-608.
- [16]BJ?NTEGAARD G.Calculation of average PSNR differences between RD-curves[C]//Proceedings of ITU-T VCEG.Austin:[s.n.],2001:2-4.