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| perceptual video hashing robust against geometric distortions | |
| Xiang ShiJun; Yang JianQuan; Huang JiWu | |
| 2012 | |
| Source | SCIENCE CHINA-INFORMATION SCIENCES
 |
| ISSN | 1674-733X |
| Volume | 55Issue:7Pages:1520-1527 |
| English Abstract | 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. |
| Indexed Type | SCI |
| Keyword | Video Hashing Geometric Distortion Histogram Gaussian Filtering |
| Department | 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. |
| Subject | Computer Science |
| Sponsorship | National Natural Science Foundation of China 60903177, 61003297; National Basic Research Program of China 2011CB302204; Fundamental Research Funds for the Central Universities 21611408 |
| Language | 英语 |
| WOS ID | WOS:000305330600004 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15075 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
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