Application of kurtosis eigenvalue in video watermarking

doi:10.3778/j.issn.1002-8331.2009.14.027

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (14): 90-92.DOI: 10.3778/j.issn.1002-8331.2009.14.027

• 网络、通信、安全 • Previous Articles Next Articles

Application of kurtosis eigenvalue in video watermarking

LI Yue-qiang¹,QUAN Tong-gui¹,ZHOU Zhi-yuan¹,SUN Xing-ming²

1.Huaihua Medical College，Huaihua，Hunan 418000，China
2.School of Computer and Communication，Hunan University，Changsha 410082，China

Received:2008-03-17 Revised:2008-06-06 Online:2009-05-11 Published:2009-05-11
Contact: LI Yue-qiang

峰度特征值在视频水印中的应用

李跃强¹,全同贵¹,周支元¹,孙星明²

1.怀化医学高等专科学校，湖南怀化 418000
2.湖南大学计算机与通信学院，长沙 410082

通讯作者: 李跃强

Abstract

Abstract: This paper proposes a new algorithm of video watermarking based on kurtosis and DCT.Kurtosis is an eigenvalue of normal distribution of the image.Choose the video frames with small kurtosis，brightness space into blocks before the discrete cosine transform，embedded the middle frequency coefficients into watermarking.The result demonstrates that the algorithm is robust and transparent to lossy compression against common signal processing manipulations and attacks，such as noise，cut and conversion etc.

Key words: video watermarking, kurtosis, Discrete Cosine Transform（DCT）, transparent, robustness, blind-detection

摘要： 提出一种基于峰度的视频水印新算法。峰度是一个能表征图像是否呈正态分布的特征值。选择峰度较小的视频帧，对亮度空间分块后实施离散余弦变换，在中频系数中嵌入水印。实验证明，该算法对有损压缩有较强的健壮性，较好的透明性。能经受添加噪声、剪切、视频格式转换及丢帧等常见视频信号处理及攻击。

关键词: 视频水印, 峰度, 离散余弦变换, 透明, 健壮, 盲检测

LI Yue-qiang¹,QUAN Tong-gui¹,ZHOU Zhi-yuan¹,SUN Xing-ming². Application of kurtosis eigenvalue in video watermarking[J]. Computer Engineering and Applications, 2009, 45(14): 90-92.

李跃强¹,全同贵¹,周支元¹,孙星明². 峰度特征值在视频水印中的应用[J]. 计算机工程与应用, 2009, 45(14): 90-92.

[1]	BAI Zhixu, WANG Hengjun, GUO Kexiang. Summary of Adversarial Examples Techniques Based on Deep Neural Networks [J]. Computer Engineering and Applications, 2021, 57(23): 61-70.
[2]	LI Song, LIU Zhe, TANG Xiaomei, WU Jian, WANG Feixue. Fixed-Point Iterated Huber-Based Robust Cubature Kalman Filter [J]. Computer Engineering and Applications, 2021, 57(16): 90-96.
[3]	HUANG Xiaoqi, WANG Li, LI Gang. Text-Image Generative Adversarial Model for Fusion Capsule Networks [J]. Computer Engineering and Applications, 2021, 57(14): 176-180.
[4]	CHEN Xiaowen, LIU Guangshuai, LIU Wanghua, LI Xurui. Pairwise Rotation-Invariant Co-occurrence Adaptive Complete Local Ternary Pattern [J]. Computer Engineering and Applications, 2021, 57(1): 219-226.
[5]	FAN Chunlong, HE Yufeng, WANG Yixin. Large Weight Suppression Strategy for Training Convolutional Neural Networks [J]. Computer Engineering and Applications, 2020, 56(2): 115-119.
[6]	YANG Yongpeng, YANG Zhenzhen, LI Jianlin, LE Jun. Low Rank and Sparse Decomposition and Its Application in Video and Image Processing [J]. Computer Engineering and Applications, 2020, 56(16): 21-30.
[7]	LI Yun, MA Yinghong. Node Importance Rank by Attribute Reduction Set Evaluation [J]. Computer Engineering and Applications, 2019, 55(5): 149-158.
[8]	HE Li, LIU Ying, HAN Keping. Improved TSVM Learning Algorithm Under Noise Labeling [J]. Computer Engineering and Applications, 2019, 55(17): 44-50.
[9]	JIANG Yunbiao, GUO Chen, YU Haomiao. Robust Adaptive Attitude Control Algorithm for Autonomous Underwater Vehicle [J]. Computer Engineering and Applications, 2019, 55(17): 266-270.
[10]	ZHENG Hao, DONG Mingli, PAN Zhikang. Target tracking algorithm with multiple algorithms in collaboration based on image classification [J]. Computer Engineering and Applications, 2018, 54(4): 185-191.
[11]	YU Jingli, HU Enliang, ZHANG Tao. Study of Fisher linear discriminant analysis based on [L1]-norm [J]. Computer Engineering and Applications, 2018, 54(4): 128-134.
[12]	WEI Yu, SONG Tian. Lightweight and robust data reduction algorithms for Wireless Sensor Network [J]. Computer Engineering and Applications, 2018, 54(3): 100-108.
[13]	LUO Yu1, ZHOU Xing1, LONG Yu1, KUANG Hanbao1, Thomas Dreibholz2, TAN Yuyin1. Supporting verification from IPv6+MPTCP technology on upper-layer application [J]. Computer Engineering and Applications, 2018, 54(24): 79-86.
[14]	WANG Bin, CHEN Lin, HOU Xiangyu, LI Weimin, SHENG Jinfang. Analysis and prediction for characteristics of user access behavior in transparent computing [J]. Computer Engineering and Applications, 2018, 54(16): 49-54.
[15]	WANG Rong, HUI Xiaojing, JING Mei. Robustness of α-reverse triple I methods based on average logic similarity [J]. Computer Engineering and Applications, 2018, 54(15): 34-37.

Application of kurtosis eigenvalue in video watermarking

峰度特征值在视频水印中的应用

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics