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\BOOKMARK [0][-]{chapter.1}{第1章 绪论}{}% 1
\BOOKMARK [1][-]{section.1.1}{1.1 研究背景及意义}{chapter.1}% 2
\BOOKMARK [1][-]{section.1.2}{1.2 系统要求}{chapter.1}% 3
\BOOKMARK [1][-]{section.1.3}{1.3 国内外研究现状}{chapter.1}% 4
\BOOKMARK [2][-]{subsection.1.3.1}{1.3.1 研究现状概述}{section.1.3}% 5
\BOOKMARK [2][-]{subsection.1.3.2}{1.3.2 数据链路层的网络冗余发现系统}{section.1.3}% 6
\BOOKMARK [2][-]{subsection.1.3.3}{1.3.3 网络层的网络冗余发现系统}{section.1.3}% 7
\BOOKMARK [2][-]{subsection.1.3.4}{1.3.4 应用层的网络冗余发现系统}{section.1.3}% 8
\BOOKMARK [2][-]{subsection.1.3.5}{1.3.5 国内外研究现状小结}{section.1.3}% 9
\BOOKMARK [1][-]{section.1.4}{1.4 论文的主要内容与组织结构}{chapter.1}% 10
\BOOKMARK [2][-]{subsection.1.4.1}{1.4.1 论文的主要内容}{section.1.4}% 11
\BOOKMARK [2][-]{subsection.1.4.2}{1.4.2 组织结构}{section.1.4}% 12
\BOOKMARK [1][-]{section.1.5}{1.5 小结}{chapter.1}% 13
\BOOKMARK [0][-]{chapter.2}{第2章 前人的工作基础}{}% 14
\BOOKMARK [1][-]{section.2.1}{2.1 使用流式模糊哈希的原因及其优点}{chapter.2}% 15
\BOOKMARK [1][-]{section.2.2}{2.2 使用基于流式模糊哈希的相似性查找系统的原因及优点}{chapter.2}% 16
\BOOKMARK [1][-]{section.2.3}{2.3 小结}{chapter.2}% 17
\BOOKMARK [0][-]{chapter.3}{第3章 预测性文件标识生成方法}{}% 18
\BOOKMARK [1][-]{section.3.1}{3.1 背景知识}{chapter.3}% 19
\BOOKMARK [2][-]{subsection.3.1.1}{3.1.1 决策树}{section.3.1}% 20
\BOOKMARK [2][-]{subsection.3.1.2}{3.1.2 贝叶斯分类方法}{section.3.1}% 21
\BOOKMARK [2][-]{subsection.3.1.3}{3.1.3\040URL}{section.3.1}% 22
\BOOKMARK [2][-]{subsection.3.1.4}{3.1.4 HTTP缓存}{section.3.1}% 23
\BOOKMARK [2][-]{subsection.3.1.5}{3.1.5 特征选择}{section.3.1}% 24
\BOOKMARK [2][-]{subsection.3.1.6}{3.1.6 信息熵}{section.3.1}% 25
\BOOKMARK [2][-]{subsection.3.1.7}{3.1.7 互信息}{section.3.1}% 26
\BOOKMARK [1][-]{section.3.2}{3.2 重复音视频文件预测实验}{chapter.3}% 27
\BOOKMARK [2][-]{subsection.3.2.1}{3.2.1 实验思路}{section.3.2}% 28
\BOOKMARK [2][-]{subsection.3.2.2}{3.2.2 机器学习算法选择}{section.3.2}% 29
\BOOKMARK [2][-]{subsection.3.2.3}{3.2.3 实验数据}{section.3.2}% 30
\BOOKMARK [2][-]{subsection.3.2.4}{3.2.4 数据标注}{section.3.2}% 31
\BOOKMARK [2][-]{subsection.3.2.5}{3.2.5 机器学习库}{section.3.2}% 32
\BOOKMARK [2][-]{subsection.3.2.6}{3.2.6 特征量化}{section.3.2}% 33
\BOOKMARK [2][-]{subsection.3.2.7}{3.2.7 实验结果}{section.3.2}% 34
\BOOKMARK [1][-]{section.3.3}{3.3 预测性文件标识生成}{chapter.3}% 35
\BOOKMARK [2][-]{subsection.3.3.1}{3.3.1 步骤}{section.3.3}% 36
\BOOKMARK [2][-]{subsection.3.3.2}{3.3.2 特征选择评价标准}{section.3.3}% 37
\BOOKMARK [2][-]{subsection.3.3.3}{3.3.3 实验数据}{section.3.3}% 38
\BOOKMARK [2][-]{subsection.3.3.4}{3.3.4 音视频特征的信息熵}{section.3.3}% 39
\BOOKMARK [2][-]{subsection.3.3.5}{3.3.5 音视频特征的互信息}{section.3.3}% 40
\BOOKMARK [1][-]{section.3.4}{3.4 小结}{chapter.3}% 41
\BOOKMARK [0][-]{chapter.4}{第4章 基于流式模糊哈希的重复音视频检测方法}{}% 42
\BOOKMARK [1][-]{section.4.1}{4.1 背景知识}{chapter.4}% 43
\BOOKMARK [2][-]{subsection.4.1.1}{4.1.1 单向流}{section.4.1}% 44
\BOOKMARK [2][-]{subsection.4.1.2}{4.1.2 流式模糊哈希相似不具有传递性}{section.4.1}% 45
\BOOKMARK [1][-]{section.4.2}{4.2 基于流式模糊哈希的重复音视频检测方法}{chapter.4}% 46
\BOOKMARK [2][-]{subsection.4.2.1}{4.2.1 步骤}{section.4.2}% 47
\BOOKMARK [2][-]{subsection.4.2.2}{4.2.2 音视频文件编号}{section.4.2}% 48
\BOOKMARK [2][-]{subsection.4.2.3}{4.2.3 预测性文件标识评价}{section.4.2}% 49
\BOOKMARK [1][-]{section.4.3}{4.3 重复音视频检测方法的可行性验证}{chapter.4}% 50
\BOOKMARK [2][-]{subsection.4.3.1}{4.3.1 预测性文件标识的误报率}{section.4.3}% 51
\BOOKMARK [2][-]{subsection.4.3.2}{4.3.2 预测性文件标识的漏报率}{section.4.3}% 52
\BOOKMARK [1][-]{section.4.4}{4.4 小结}{chapter.4}% 53
\BOOKMARK [0][-]{chapter.5}{第5章 系统设计与实现}{}% 54
\BOOKMARK [1][-]{section.5.1}{5.1 系统概述}{chapter.5}% 55
\BOOKMARK [1][-]{section.5.2}{5.2 系统测试}{chapter.5}% 56
\BOOKMARK [2][-]{subsection.5.2.1}{5.2.1 测试原理}{section.5.2}% 57
\BOOKMARK [2][-]{subsection.5.2.2}{5.2.2 特定音视频文件召回率测试}{section.5.2}% 58
\BOOKMARK [2][-]{subsection.5.2.3}{5.2.3 系统去重效果测试}{section.5.2}% 59
\BOOKMARK [1][-]{section.5.3}{5.3 小结}{chapter.5}% 60
\BOOKMARK [0][-]{chapter.6}{第6章 总结与展望}{}% 61
\BOOKMARK [1][-]{section.6.1}{6.1 全文总结}{chapter.6}% 62
\BOOKMARK [1][-]{section.6.2}{6.2 研究展望}{chapter.6}% 63
\BOOKMARK [0][-]{section*.35}{参考文献}{}% 64
\BOOKMARK [0][-]{appendix*.37}{致谢}{}% 65
\BOOKMARK [0][-]{appendix*.38}{作者简历及攻读学位期间发表的学术论文与研究成果}{}% 66
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