面向压缩域视频拷贝检测的主要边缘相对相位算法

张志杰; 邹建华

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面向压缩域视频拷贝检测的主要边缘相对相位算法

更新时间：2025-07-09

- 面向压缩域视频拷贝检测的主要边缘相对相位算法
- A Relative Phases Algorithm of Key Edges for Detecting Compressed Video Copies
- 西安交通大学学报 2010年44卷第10期页码：8-12
- 作者机构：
  
  西安交通大学系统工程研究所,西安,710049
- 作者简介：
- 基金信息：
  
  : 2010-03-17. 作者简介:张志杰(1980- ),男,博士生;邹建华(联系人),男,教授,博士生导师. 基金项目: 国家自然科学基金资助项目(50177025)
- DOI：
  中图分类号： TP391
- 网络首发：2010-10-10，
  
  纸质出版：2010
- 稿件说明：
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张志杰, 邹建华. 面向压缩域视频拷贝检测的主要边缘相对相位算法[J]. 西安交通大学学报, 2010,44(10):8-12.

A Relative Phases Algorithm of Key Edges for Detecting Compressed Video Copies[J]. 2010, 44(10): 8-12.
张志杰, 邹建华. 面向压缩域视频拷贝检测的主要边缘相对相位算法[J]. 西安交通大学学报, 2010,44(10):8-12. DOI：

A Relative Phases Algorithm of Key Edges for Detecting Compressed Video Copies[J]. 2010, 44(10): 8-12. DOI：

摘要

为了提高视频拷贝检测的查全率和速度

提出了一种基于主要边缘相对相位的压缩域视频拷贝检测算法.该算法先通过压缩视频I帧中DCT系数的AC分量获取边缘信息

然后从边缘信息中抽取主要边缘相对相位

并将其作为视频特征

最后利用这种特征进行视频拷贝检测.各种拷贝攻击对主要边缘相对相位影响很小

因此本文算法是鲁棒的.此外

该算法直接从压缩域获取信息

避免了解压环节

从而减少了检测用时.实验结果表明

该算法相比于其他压缩域算法

查全率提高了68%

相比于非压缩域算法

检测速度提高了约5倍.

Abstract

A new algorithm to detect compressed video copies is proposed to improve the recall and speed of video copy detection based on the relative phases of key edges. The algorithm firstly computes edge information from the AC components of the DCT coefficients

which are directly obtained from all the I frames in compressed videos; The relative phases of key edges are computed from the edge information

and then used as the video signatures; Finally the video signatures are used to detect the video copies. Since various video copy attacks have little influence on the relative phases of key edges

the proposed algorithm is robust. Moreover

the algorithm avoids the decompression process so that the detection time is reduced. Experimental results show that the proposed algorithm outperforms not only the other compressed-domain algorithms 68% in recall

but also the uncompressed-domain algorithm about 5 times in speed.

关键词

Keywords

references

WANG H, DIVAKARAN A, VETRO A, et al. Survey of compressed-domain features used in audio-visual indexing and analysis [J]. Journal of Visual Communication and Image Representation, 2003, 4(2): 150-183.

张勇东, 张冬明, 郭俊波, 等. 压缩域快速视频拷贝检测算法[J]. 通信学报, 2009, 30(3): 135-140.

ZHANG Yongdong, ZHANG Dongming, GUO Junbo, et al. Rapid video copy detection on compressed domain [J].Journal on communications, 2009,30(3):135-140.

WON C S, PARK D K, NA I Y, et al. Efficient color feature extraction in compressed video [C]∥Proceedings of SPIE Conference on Storage and Retrieval for Image and Video Data- bases VII. San Jose, CA, USA: SPIE, 1999: 677-686.

ZABIH R, MILLER J, MAI K. A feature-based algorithm for detecting and classifying scene breaks [J].ACM Multimedia System, 1995: 189-200.

SONG B C, RA J B. Fast edge map extraction from MPEG compressed video data for video parsing [C]∥ Proceedings of SPIE Conference on Storage and Retrieval for Image and Video Databases VII. San Jose, CA, USA: SPIE, 1999: 710-721.

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LEE S W, KIM Y M, CHOI S W. Fast scene change detection using direct feature extraction from MPEG compressed videos [J]. IEEE Transactions on Multimedia, 2000, 2(4): 240-254.

IMEDIA Research Group.Guidelines for the TRECVID 2008 CD task evaluation [EB/OL]. [2010-03-01]. http://www-nlpir.nist.gov/projects/tv2008/tv2008.html.

TAN Y P, KULKARNI S R, RAMADGE P J. A framework for measuring video similarity and its application to video query by example [C]∥ Proceedings of 1999 International Conference on Image Processing. Piscataway, NJ, USA: IEEE, 1999: 106-110.

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