perceptual video hashing robust against geometric distortions

ISCAS OpenIR

	perceptual video hashing robust against geometric distortions
	Xiang ShiJun; Yang JianQuan; Huang JiWu
	2012
发表期刊	SCIENCE CHINA-INFORMATION SCIENCES
ISSN	1674-733X
卷号	55 期号:7 页码:1520-1527
摘要	In this paper, we propose a robust perceptual hashing algorithm by using video luminance histogram in shape. The underlying robustness principles are based on three main aspects: 1) Since the histogram is independent of position of a pixel, the algorithm is resistant to geometric deformations; 2) the hash is extracted from the spatial Gaussian-filtering low-frequency component for those common video processing operations such as noise corruption, low-pass filtering, lossy compression, etc.; 3) a temporal Gaussian-filtering operation is designed so that the hash is resistant to temporal desynchronization operations, such as frame rate change and dropping. As a result, the hash function is robust to common geometric distortions and video processing operations. Experimental results show that the proposed hashing strategy can provide satisfactory robustness and uniqueness.; In this paper, we propose a robust perceptual hashing algorithm by using video luminance histogram in shape. The underlying robustness principles are based on three main aspects: 1) Since the histogram is independent of position of a pixel, the algorithm is resistant to geometric deformations; 2) the hash is extracted from the spatial Gaussian-filtering low-frequency component for those common video processing operations such as noise corruption, low-pass filtering, lossy compression, etc.; 3) a temporal Gaussian-filtering operation is designed so that the hash is resistant to temporal desynchronization operations, such as frame rate change and dropping. As a result, the hash function is robust to common geometric distortions and video processing operations. Experimental results show that the proposed hashing strategy can provide satisfactory robustness and uniqueness.
收录类别	SCI
关键词	Video Hashing Geometric Distortion Histogram Gaussian Filtering
部门归属	Huang JiWu Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou 510275 Guangdong Peoples R China. Xiang ShiJun Jinan Univ Sch Informat Sci & Technol Guangzhou 510632 Guangdong Peoples R China. Yang JianQuan Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China. Xiang ShiJun Chinese Acad Sci State Key Lab Informat Secur Inst Software Beijing 100049 Peoples R China.
学科领域	Computer Science
资助者	National Natural Science Foundation of China 60903177, 61003297; National Basic Research Program of China 2011CB302204; Fundamental Research Funds for the Central Universities 21611408
语种	英语
WOS记录号	WOS:000305330600004
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15075
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Xiang ShiJun,Yang JianQuan,Huang JiWu. perceptual video hashing robust against geometric distortions[J]. SCIENCE CHINA-INFORMATION SCIENCES,2012,55(7):1520-1527.
APA	Xiang ShiJun,Yang JianQuan,&Huang JiWu.(2012).perceptual video hashing robust against geometric distortions.SCIENCE CHINA-INFORMATION SCIENCES,55(7),1520-1527.
MLA	Xiang ShiJun,et al."perceptual video hashing robust against geometric distortions".SCIENCE CHINA-INFORMATION SCIENCES 55.7(2012):1520-1527.