| 手持终端的自识别矢量量化数字水印系统 |
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| 引用本文： | 李素云.手持终端的自识别矢量量化数字水印系统[J].嘉应学院学报,2013(8):25-29. |
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| 作者姓名： | 李素云 |
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| 作者单位： | 安徽大学,现代教育技术中心,合肥230039 |
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| 基金项目： | 基金项目：国家自然科学基金项目（61202228） |
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| 摘 要： | 围绕移动终端多媒体数据版权保护问题,在智能手持装置中引入Client-Service方法,将码书设计与水印嵌入分开.采用IEENNS搜索算法缩短编码时间,借助图像检索方法自动选择码书.设计系统分为两个子系统:一个是最优码书生成子系统,一个是自识别VQ子系统.实验结果表明,不仅能够提高码书生成质量与重构图像的质量,同时能够缩短编码时间,而且具有较强的鲁棒性.
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| 关 键 词： | 矢量量化 移动设备 图像检索 自识别 |
The Self- identifying Vector Quantization Watermarking System Based on Mobile Platform |
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| LI Su-yun.The Self- identifying Vector Quantization Watermarking System Based on Mobile Platform[J].Journal of Jiaying University,2013(8):25-29. |
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| Authors: | LI Su-yun |
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| Institution: | LI Su - yun ( Modern Education Technology Center, Anhui University, Hefei 230039, China) |
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| Abstract: | This paper focuses on mobile multimedia copyright protection, and further presents the separate design i- dea of codebook design and embedding based on Client - Service model, respectively. It uses IEENNS search algo- rithm to reduce the coding time and automatically selects the codebook by image retrieval thinking codebook. This design system is divided into two subsystems： one is the generating system of the optimum codes and another is a self - identifying VQ system. The experimental results showed that it could not only improve the quality of codebook generation and simultaneously reduce the coding time, and but also have strong robustness. |
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| Keywords: | vector quantization mobile devices image retrieval self - identification |
| 本文献已被 CNKI 维普 等数据库收录！ |
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