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计算机工程 ›› 2013, Vol. 39 ›› Issue (2): 141-144. doi: 10.3969/j.issn.1000-3428.2013.02.028

• 安全技术 • 上一篇    下一篇

基于峭度图像的视频指纹算法

聂秀山 1,董 飞 2,孙建德 3   

  1. (1. 山东财经大学计算机科学与技术学院,济南 250014; 2. 山东师范大学传媒学院,济南 250014;3. 山东大学信息科学与工程学院,济南 250100)
  • 收稿日期:2012-04-18 修回日期:2012-05-28 出版日期:2013-02-15 发布日期:2013-02-13
  • 作者简介:聂秀山(1981-),男,副教授、博士,主研方向:多媒体信息处理,信息安全;董 飞,实验师;孙建德,副教授、博士
  • 基金资助:
    国家自然科学基金资助项目(61001180, 61101162);山东省信息化与工业化融合专项研究基金资助项目(2012EI025, 2012EI020)

Video Fingerprinting Algorithm Based on Kurtosis Image

NIE Xiu-shan 1, DONG Fei 2, SUN Jian-de 3   

  1. (1. School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China; 2. School of Communication, Shandong Normal University, Jinan 250014, China; 3. School of Information Science and Engineering, Shandong University, Jinan 250100, China)
  • Received:2012-04-18 Revised:2012-05-28 Online:2013-02-15 Published:2013-02-13

摘要: 为解决网络视频的非法拷贝问题,提出一种基于峭度图像的视频指纹算法。对视频片段进行预处理后,利用均匀分布的随机变量提取关键帧以及关键帧的峭度图像,并对峭度图像进行离散余弦变换(DCT),采用较大的DCT系数构造视频指纹,在视频指纹的匹配过程中,通过滑动窗的方法对不同长度的指纹进行匹配,从而达到视频认证的目的。实验结果证明,该算法提取的视频指纹在常见视频攻击下误码率均小于10%。

关键词: 基于内容的视频指纹, 视频哈希, 视频拷贝, 峭度图像, 离散余弦变换, 区分性

Abstract: In order to detect illegal copies of videos, this paper proposes a video fingerprinting algorithm based on kurtosis image. The video clip is preprocessed and key frames are selected by using a random variable with uniform distribution. The kurtosis images of key frames are computed and Discrete Cosine Transform(DCT) is applied into the kurtosis images. The video fingerprints are generated with the lager DCT coefficients. During video fingerprints matching, a sliding window method is used for matching, and the identification of videos is achieved. Experimental results prove that bit error rates are below 10% under common attacks.

Key words: Content-based Video Fingerprinting(CBVF), video hashing, video copy, kurtosis image, Discrete Cosine Transform (DCT), discrimination

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