基于脊波变换的渐变镜头转场检测算法*

分析了脊波变换在处理含“线奇异”信号上的优势.提出用脊波变换后的各高频系数和作为图像的特征量.渐变镜头脊波变换的实现分两步：首先,对图像帧进行一定方向参量的Radon变换；其次,对Radon变换得到各数组进行Haar小波二级分解,采用分解后的高频系数和描述图像.在检测窗内,计算连续帧间脊波变换系数和之间的欧式距离判别渐变转场的边界.

Abstract

The advantages of ridgelet transform in processing the “Linear Singularity” were analyzed.A new video shot gradual transition detection algorithm based on ridgelet transform was present.The sum of ridgelet transform high frequency coefficients acts as the characteristics of the image.Radon transform of image was used,and Haar wavelet transform was given out.The Euclidean distance between the sequence images was given out.Ridgelet transform coefficients were used to detect the gradual shot-boundary.The experiment results indicat that the new algorithm givens better performance.

参考文献

[1] . A formal study of shot boundary detection[J]. IEEE Trans on Circuits and Systems for Video Technology, 2007, 17(2): 168-186.

[2] . Video shot detection and condensed representation[J]. IEEE Trans.Signal Processing Magazine, 2006, 23(2): 28-37.

[3] HONG HEATHER Yu.A hierarchical multiresolution video shot transition detection scheme［J］.Computer Vision and Image Understanding,1999,75(1/2):196-213.

[4] 戴小文,蔡志平,钟桂英.基于分块图像小波相对能量和熵的视频镜头边界检测算法［J］.光子学报,2008,37(7):1492-1496.

DAI Xiao-wen,CAI Zhi-ping,ZHONG Gui-ying.An algorithm of video shot detection based on partitioning image wavelet entropy［J］.Acta Photonica Sinica,2008,37(7):1492-1496.

[5] HANJALIC C,Shot-boundary detection :unraveled and resolved［J］.IEEE Trans.on Circuits and Systems for Video Technol,2002,12(2):90-105.

[6] 焦李成,谭山,刘芳,脊波理论：从脊波变换到Curvelet变换［J］.工程数学学报.2005,22(5):761-773.

JIAO Li-cheng,TAN Shan,LIU Fang.Ridgelet theory:from ridgelet transform to curvelet［J］.Chinese Journal of Engineering Mathematics,2005,22(5) :761-773.

[7] . Ridgelets and the representation of mutilated sobolev functions[J]. SIAM J Mathl Anal, 1999, 33: 2495-2509.

[8] . Astronomical image representation by the curvelet transform[J]. Astronomy & Astrophysics, 2003, 398(2): 785-800.

[9] . The curvelet transform for image denoising[J]. IEEE Trans on Image Processing, 2002, 11(6): 670-684.

[10] CANDES E J.Ridgelets:theroy and application［A］.Ph.D thesis,Stanford University 1998.

[11] CANDES E J.Harmonic analysis of neural networks［J］.Applied and Computational Harmonic Analysis,1999,Anal.6:197-218.

[12] . Discrete Radon transform[J]. IEEE Trans ASSP, 1987, 35(1): 162-172.

[13] . The finite ridgelet transform for image representation[J]. IEEE Trans Image Processing, 2003, 12(1): 16-28.

戴小文, 宋志雄, 钟桂英. 基于脊波变换的渐变镜头转场检测算法*[J]. 光子学报, 2009, 38(5): 1297. DAI Xiao-wen, SONG Zhi-xiong, ZHONG Gui-ying. An Algorithm of Video Shot Detection Based on Ridgelet Transform[J]. ACTA PHOTONICA SINICA, 2009, 38(5): 1297.

基于脊波变换的渐变镜头转场检测算法*

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