全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

采用压缩传感的鲁棒的视频指纹方案

DOI: 10.11834/jig.20130108

Keywords: 压缩传感,视频指纹,视频识别,奇异值分解

Full-Text   Cite this paper   Add to My Lib

Abstract:

视频指纹技术在视频检索、识别、安全等领域有着广泛的应用,提出一种基于压缩传感理论的鲁棒性视频指纹方法,该方法采用压缩传感的稀疏性和安全性对提取的视频关键帧进行采样,再对采样矩阵分块与分类,提取能量值大的一些子块构成新的特征矩阵。对特征矩阵使用奇异值分解,对较大奇异值量化编码生成指纹。同时,也提出了高效的两步匹配方案,通过粗精两步搜索对视频进行检索,提高了视频搜索速度,实验结果表明,能准确检测视频片段,对通常的视频处理具有较强鲁棒性,满足视频检索的实时要求。

References

[1]  Liu Y, Yao L. Research of robust video fingerprinting[C]// Proceedings of International Conference on Computer Application and System Modeling (ICCASM). Taiyuan, China: IEEE, 2010:43-46.
[2]  Zhuang X Y. A video retrieval system based on video fingerprints[D]. Beijing: Beijing University of Technology, 2005.[庄新月. 基于视频指纹的视频检索技术研究[D]. 北京:北京工业大学. 2005.]
[3]  Sunil L, Chang D Y. Robust video fingerprinting for content-based video identification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2008,18(7): 983-988.
[4]  Cheung C S, Zakhor A. Efficient video similarity measurement with video signature[J]. IEEE Trans. on Circuits Syst. Video Technol, 2003, 13(1): 59-74.
[5]  Bhat N D, Nayar K S. Ordinal measures for image correspondence[J]. IEEE Trans. on Pattern Anal. Mach. Intell., 1998, 20(4):415-429.
[6]  Kim C, Vasudev B. Spatiotemporal sequence matching for efficient video copy detection[J]. IEEE Trans. on Circuits Syst. Video Technol, 2005,15(1): 127-132.
[7]  Fridrich J, Goljan M. Robust hash functions for digital watermarking[C]//Proceedings of IEEE International Conference on Information Technology: Coding and Computing. Las Vegas, Nevada, USA: IEEE, 2000: 178-183.
[8]  Mihcak M K, Venkatesan R. New iterative geometric technique for robust image hashing[C]// Proceedings of ACM workshop on Security and Privacy in Digital Rights Management. Vancover, BC, Canada: ACM, 2001:13-21.
[9]  Swaminathan A, Mao Y, Wu M. Robust and secure image hashing[J]. IEEE Trans. on Information Forensics and Security, 2006,1(2):215-230.
[10]  Lee S,Yoo D C. Robust video fingerprinting for content-based video identification[J]. IEEE Trans. on Circuits Syst. Video Technol, 2008, 18(7): 983-988.
[11]  Law-To L, Chen L, Joly A, et al. Video copy detection: a comparative study[C]// Proc. of Conf. Image Video Retrieval (CIVR). Amsterdam, Netherlands: IEEE, 2007: 371-378.
[12]  Esmaeili M M,Fatourechi M,Ward R K. A Robust and fast video copy detection system using content-based fingerprinting[J]. IEEE Trans. on Information forensics and Security, 2011, 6(1): 213-226.
[13]  更多...
[14]  Su X, Huang T J, Gao W. Robust video fingerprinting based on visual attention regions[C]// Proceedings of ICASSP 2009. Beijing,China: IEEE, 2009: 1525-1528.
[15]  Shao W Z, Wei Z H. Advances and perspectives on compressed sensing theory[J]. Journal of Image and Draphics,2012, 17(1): 1-12.[邵文哲,韦志辉.压缩感知基本理论:回顾与展望[J].中国图象图形学报, 2012, 17(1): 1-12.]
[16]  Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[17]  Wang K, Liu Y L, Zhang J X. RIP analysis for quasi-Toeplitz CS matrices[C]//Proceedings of International Conference on Future Information Technology and Management Engineering. Chongqing, China: IEEE, 2010: 1512-1514.
[18]  Duarte M F, Wakin M B, Baraniuk R G. Fast reconstruction of piecewise smooth signals from random projections[C]// Proc. of Signal Processing with Adaptive Sparse Sparse Structure Representation. Rennes, France:[s.n.], 2005.
[19]  Liu G F, Debrunner V. Matching pursuits may yield superior results to orthogonal matching pursuits when secondary information is estimated from the signal model[C]//Proceedings of 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers. Califomia, USA: IEEE, 2010: 2013-2016.
[20]  Cormode G, Muthukrishnan S. Towards an algorithmic theory of compressed sensing, DIMACS TR:2005-40[R].Newark, New Jersey, USA: Rutgers University, 2005.
[21]  Sun Z H, Wang C, Kebin J. Near-duplicate video clips detection with motion based video fingerprinting[C]//Proceedings of the 4th International Congress on Image and Signal Processing. Beijing, China: IEEE, 2011: 456-459.
[22]  Wang R, Ping X J. Detection of resampling based on texture complexity and singular value decomposition[J]. Journal of Computer-Aided Design and Computer Graphics,2010, 22(9): 1606-1612.[汪然,平西建. 基于图像纹理复杂度和奇异值分解的重采样检测[J]. 计算机辅助设计与图形学学报, 2010, 22(9):1606-1612.]

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133