perceptual video hashing robust against geometric distortions
文献类型：期刊论文
| 作者 | Xiang ShiJun ; Yang JianQuan ; Huang JiWu |
| 刊名 | SCIENCE CHINA-INFORMATION SCIENCES
 |
| 出版日期 | 2012 |
| 卷号 | 55期号:7页码:1520-1527 |
| 关键词 | video hashing geometric distortion histogram Gaussian filtering |
| ISSN号 | 1674-733X |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 学科主题 | Computer Science |
| 收录类别 | SCI |
| 资助信息 | 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 |
| 公开日期 | 2013-09-17 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15075]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 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. |
入库方式： OAI收割
来源：软件研究所
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