[1]LIU Ju,SUN Jiande.Independent component analysisbased image/video analysis and applications[J].CAAI Transactions on Intelligent Systems,2011,6(6):495-506.
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Independent component analysisbased image/video analysis and applications

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 6 Page number: 495-506 Column: 学术论文—人工智能基础 Public date: 2011-12-25
Title:
Independent component analysisbased image/video analysis and applications
Author(s):
LIU Ju;  SUN Jiande
School of Information Science and Engineering, Shandong University, Ji’nan 250100, China
Keywords:
independent component analysis;  feature extraction;  video analysis;  digital watermarking
CLC:
TP18；TN911.7
DOI:
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Abstract:
The application of image and video is becoming increasingly popular with the development of computer and communication techniques. One of the important methods applied in image and video information analysis is to obtain suitable features which approach the visual characteristics of humans. Independent component analysis (ICA) is an unsupervised training method which effectively matches human vision with image and video understanding. In this paper, different image/video analysis models of ICA were presented and the independent image/video features based on these models were analyzed. A comparison between multimedia ICA and digital wavelet transform (DWT) was performed. Finally, computer simulation results on various analysis methods were given to show the independent features of different models and their applications in image and video watermarking. The results of the application simulations show that the independent features may make improvements for image and video watermarking. 
References:
［1］MALLAT S A. Theory for multiresolution signal decomposition: the wavelet representation［J］. IEEE Trans Pattern Anal Mach Intel, 1989, 11(7): 674693.
［2］COMON P. Independent component analysis, a new concept［J］. Signal Processing, 1994，36: 287314.
［3］HYVRINEN A, OJA E. A fast fixedpoint algorithm for independent component analysis［J］. Neural Computation, 1997, 9(7): 14831492.
［4］HYVARINEN A, KARHUNEN J, OJA E. Independent component analysis［M］. New York: John Wiley, 2001：2135.
［5］HURRI J, HYVARINEN A, KARHUNEN J, et al. Image feature extraction using independent component analysis［C］//Proc IEEE Nordic Signal Processing Symposium. Espoo， Finland, 1996: 475478.
［6］Van HATEREN J H, Van DER SCHAAF A. Independent component filters of natural images compared with simple cells in primary visual cortex［J］//Proceedings Royal Society of London: Biological Sciences, 1998, 265(1394): 359366.
［7］ZHANG Qiang, SUN Jiande, LIU Ju, et al. A novel ICAbased image video processing method［C］//ICA 2007, LNCS 4666, ［S.l.］, 2007: 836842.
［8］MALLAT S. Wavelets for a vision［J］.Proceedings of the IEEE, 1996, 84(4): 604614.
［9］ANTONINI M, BARLAUD M, MATHIEU P. Daubechies: image coding using wavelet transform［J］. IEEE Transactions on Image Processing, 1992, 1(2): 205220.
［10］SWANSON M D, ZHU B, TEWFIK A H. Multiresolution scenebased video watermarking using perceptual models［J］. IEEE Journal on Selected Areas in Communications, 1998, 16(4): 540550.
［11］Van HATEREN J H, RUDERMAN D L. Independent component snalysis of natural image sequences yields spatiotemporal filters similar to simple cells in primary visual cortex［J］//Proceedings of the Royal Society. London B, 1998, 265(1412): 23152320.
［12］TEKALP A M.Digital video processing［M］.北京：清华大学出版社, 1998： 1530.
［13］BELL A J， SEJNOWSKI T J. Edges are the independent components of natural scenes［M］//Advances in Neural Information Processing Systems 9. Cambrige: The MIT Press, 1996: 831837.
［14］HOYER P O， HYVARINEN A. Independent component analysis applied to feature extraction from color and stereo images［J］. Network: Computation in Neural Systems, 2000, 11(3): 191210.
［15］SMARAGDIS P, CASEY M. Audio/visual independent components［C］//4th International Symposium on Independent Component Analysis and Blind Signal Separation. Nara, Japan, 2003: 709714.
［16］孙建德, 刘琚. 基于独立分量分析的盲视频水印方案［J］. 电子学报, 2004, 32(9): 15071510.
SUN Jiande, LIU Ju. A blind video watermarking scheme based on independent component analysis［J］. Acta Electronica Sinica, 2004, 32(9): 15071510.
［17］刘琚,孙建德,基于ICA的数字水印的方法［J］. 电子学报, 2004, 32(4): 657660.
LIU Ju，SUN Jiande. A new scheme of digital watermarking based on independent component analysis［J］. Acta Electronic Sinica, 2004, 32(4): 657660.
［18］ KUTTER M, VOLOSHYNOVSKIY S, HERRIGEL A. The watermark copy attack［C］//Proc of SPIE: Security and Watermarking of Multimedia ContentsⅡ. San Jose, USA: SPIE, 2000, 3971: 371380.
［19］胡慧博, 刘琚, 孙建德. 基于 ICA 的抗拷贝攻击的数字水印方案［J］. 电子与信息学报, 2005, 27(7): 10351038
HU Huibo, LIU Ju, SUN Jiande. An ICAbased watermarking scheme resistant to copy attack［J］. Journal of Electronics & Information Technology, 2005, 27(7): 10351038.
［20］LIU Ju, ZHANG Xingang， SUN Jiande. A digital watermarking scheme based on ICA detection［C］//4th International Symposium on Independent Component Analysis and Blind Signal Separation. Nara, Japan, 2003: 215220.
［21］凌洁， 刘琚， 孙建德， 等. 基于视觉模型的迭代AQIM水印算法［J］. 电子学报，2010, 38(1): 151155.
LING Jie, LIU Ju, SUN Jiande, et al. Visual model based iterative AQIM watermark algorithm［J］. Acta Electronica Sinica, 2010, 38(1): 151155.
［22］SUN Jiande, LIU Ju. A novel blind video watermarking scheme based on independent dynamic component［J］. Multidimensional Systems and Signal Processing, 2006, 17(1): 5974. 
［23］YU D, SATTER F, MA K K. Watermark detection and extraction using ICA method［J］. EURASIP Journal on Applied Signal Processing, 2002, 1: 92104.
［24］SUN Zhaowan, LIU Ju, SUN Jiande, et al. A motion location based video watermarking scheme using ICA to extract dynamic frames［J］. Neural Computing & Applications, 2009, 18(5): 507514.
［25］WATSON A B. DCT quantization matrices visually optimized〖KG*1/3〗for〖KG*1/3〗individual〖KG*1/3〗images［C］//Proc〖KG*1/3〗SPIE〖KG*1/3〗 on 〖KG*1/3〗HumanVision, Visual Processing, and Digital Display Ⅳ. San Jose, USA, 1993: 202216.
［26］CHEN B, WORNELL G W. Quantization index modulation: a class of provably good methods for digital watermarking and information embedding［J］. IEEE Transactions on Information Theory, 2001, 47(4): 14231443.
［27］SUN Jiande, LIU Ju. A blind video watermarking scheme based on ICA and shot segmentation［J］. Science in China Series F, 2006, 49(3)： 302312.
［28］GONZLEZSERRANO F J, MURILLOFUENTES J J. Independent component analysis applied to image watermarking［C］//Proc IEEE ICASSP. Lake City, USA, 2001: 19972000. 
［29］MANGAIYARKARASI P, ARULSELVI S. A new digital image watermarking based on finite ridgelet transform and extraction using ICA［C］//Proceedings of ICETECT. Tamil Nadu, India, 2011: 837841.
［30］JADHAV S, BHALCHANDRA A. Robust digital imageadaptive watermarking using BSS based extraction technique［J］.//International Journal of Image Processing, 2010, 4(1): 7788.
［31］CHAUDHARI B P, GULVE A K. Approaches of digital image watermarking using IC［C］//Proceedings of ISCET. Punjab, India, 2010: 3246.
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