期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2011
卷号：2
期号：1
页码：151
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Distributed Video Coding (DVC) is a new coding paradigm for video compression, based on SlepianWolf(lossless coding) and Wyner-Ziv (lossy coding) information theoretic results. DVC is useful foremerging applications such as wireless video cameras, wireless low-power surveillance networks anddisposable video cameras for medical applications etc. The primary objective of DVC is low-complexityvideo encoding, where bulk of computation is shifted to the decoder, as opposed to low-complexitydecoder in conventional video compression standards such as H.264 and MPEG etc. There are couple ofearly architectures and implementations of DVC from Stanford University[2][3] in 2002, BerkeleyUniversity PRISM (Power-efficient, Robust, hIgh-compression, Syndrome-based Multimedia coding)[4][5]in 2002 and European project DISCOVER (DIStributed COding for Video SERvices)[6] in 2007.Primarily there are two types of DVC techniques namely pixel domain and transform domain based.Transform domain design will have better rate-distortion (RD) performance as it exploits spatialcorrelation between neighbouring samples and compacts the block energy into as few transformcoefficients as possible (aka energy compaction). In this paper, architecture, implementation details and“C” model results of our transform domain DVC are presented.
关键词：Group of Pictures (GOP); Rate-distortion (RD); Wyner-Ziv (WZ); Discrete Cosine Transform (DCT); Low;Density Parity Check Accumulator (LDPCA); Side Information (SI) and Distributed Video Coding (DVC)
