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 |
| 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. |
| 收录类别 | SCI |
| 原文出处 | http://link.springer.com/article/10.1007%2Fs11432-011-4450-1 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4199]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | SCIENCE CHINA-INFORMATION SCIENCES |
| 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. |
| APA | Xiang ShiJun,Yang JianQuan,&Huang JiWu.(2012).Perceptual video hashing robust against geometric distortions.SCIENCE CHINA-INFORMATION SCIENCES. |
| MLA | Xiang ShiJun,et al."Perceptual video hashing robust against geometric distortions".SCIENCE CHINA-INFORMATION SCIENCES (2012). |
入库方式： OAI收割
来源：深圳先进技术研究院
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