stanford_DVC_source_code
所属分类：多媒体编程
开发工具：Visual C++
文件大小：49994KB
下载次数：251
上传日期：2008-05-28 19:31:32
上 传 者：
algernon
说明： 斯坦福Girod他们做的Wyner Ziv理论下的分布式视频编解码器，里面包含了一个ldpca的码字表。
(Girod Stanford Wyner Ziv they make the theory of distributed video codec, which contains a code word table ldpca.)
文件列表:
stanford DVC source code\1 Wyner-Ziv coding of video with unsupervised motion vector learning.pdf (393544, 2008-05-02)
stanford DVC source code\2 Wyner-Ziv coding of stereo images with unsupervised learning of disparity.pdf (189881, 2008-05-02)
stanford DVC source code\3 Distributed grayscale stereo image coding with unsupervised learning of disparity.pdf (309741, 2008-05-02)
stanford DVC source code\50688_regDeg3_1on132.zip (48148950, 2008-05-02)
stanford DVC source code\LDPC-Video-DCT-VS-2005.zip (2333065, 2008-05-02)
stanford DVC source code\Source Code Help.pdf (43827, 2008-05-02)
stanford DVC source code (0, 2008-05-02)
http://www.stanford.edu/%7Edmchen/dvc.html
Unsupervised Learning of Motion for Distributed Video Coding
David Varodayan, David Chen, Markus Flierl, Bernd Girod
Introduction
We have developed a distributed video codec that uses Expectation Maximization to learn the motion only at the decoder. An overview of the codec is given in our journal paper [1]. More theory on how expectation maximization is used to learn motion/disparity in an unsupervised fashion can be found in earlier publications [2][3].
Package
The source code, written in ANSI C++, is being distributed as a Visual Studios package. Any Visual Studios version 2005 or later is compatible. The only external dependency is Matlab, whose functionality is called directly from the C++ code. Any Matlab version 7.0 or higher is compatible. The code has been thoroughly tested on Windows XP and Vista machines.
Visual Studios Project
LDPC Ladder File
Help Documentation
The code can be modified and used for research purposes. Your feedback is welcome.
References
[1] D. Varodayan, D. Chen, M. Flierl and B. Girod, "Wyner-Ziv coding of video with unsupervised motion vector learning", EURASIP Signal Processing: Image Communication. [PDF]
[2] D. Varodayan, Y.-C. Lin, A. Mavlankar, M. Flierl and B. Girod, "Wyner-Ziv coding of stereo images with unsupervised learning of disparity", Proc. Picture Coding Symposium, PCS 2007, Lisbon, Portugal, November 2007. [PDF]
[3] D. Varodayan, A. Mavlankar, M. Flierl and B. Girod, "Distributed grayscale stereo image coding with unsupervised learning of disparity", Proc. IEEE Data Compression Conference, DCC 2007, Snowbird, Utah, March 2007. [PDF]
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