计算机工程 ›› 2011, Vol. 37 ›› Issue (24): 281-283.doi: 10.3969/j.issn.1000-3428.2011.24.094

• 开发研究与设计技术 • 上一篇    下一篇

面向音频指纹的帕尔森高斯核量化哈希方法

陈海浪 a,b,欧阳建权 a,b   

  1. (湘潭大学 a. 智能计算与信息处理教育部重点实验室;b. 信息工程学院,湖南 湘潭 411105)
  • 收稿日期:2011-06-01 出版日期:2011-12-20 发布日期:2011-12-20
  • 作者简介:陈海浪(1986-),女,硕士研究生,主研方向:多媒体技术;欧阳建权,教授
  • 基金项目:
    国家科技支撑计划基金资助项目(2007BAH14B05)

Parzen Gaussian Kernel Quantum Hash Method Orienting to Audio Fingerprint

CHEN Hai-lang a,b, OUYANG Jian-quan a,b   

  1. (a. Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education;b. College of Information Engineering, Xiangtan University, Xiangtan 411105, China)
  • Received:2011-06-01 Online:2011-12-20 Published:2011-12-20

摘要: 基于二进制哈希的音频指纹匹配方法鲁棒性较差。为此,提出一种帕尔森高斯核量化哈希方法,将2个音频中间哈希值的差异度通过概率密度函数量化编码到一个合适的整数范围内,以刻画失真的概率分布,实现音频指纹的提取。实验结果表明,与二值哈希法相比,该方法对多种失真具有更高的鲁棒性。

关键词: 音频指纹, 指纹提取, 量化哈希, 帕尔森高斯核, HFM方法

Abstract: Aiming at the poor robustness problem of the binary hash for the audio fingerprint matching technology, this paper proposes a Parzen Gaussian kernel quantum hash scheme, which encodes the intermediate hash difference between two audio contents into an integer at a suitable range according to its probability density function, and characters the probability distribution of distribution. Experimental results show that the method is more robust under various distortions than the binary hash.

Key words: audio fingerprint, fingerprint extraction, quantum hash, Parzen Gaussian kernel, HFM method

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