吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 283-286.

Previous Articles     Next Articles

Ojectionable video detecting based on multiple color space

QIN Min1,2, GUO Yu-kun1, LI Jin-ping1,2   

  1. 1. School of Information Science and Engineering, University of Jinan, Jinan 250022, China;
    2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China
  • Received:2012-05-19 Published:2013-06-01

Abstract:

As videos such as bloody, violent and pornographic could not be updated frequently,a new objectionable videos detection method based on the combination of machine detection and manual intervention was proposed.First,objectionable video was labeled by manual method.Then the normalized energy curve was calculated through the multiple color space and the video character database was set up.Finally,the system can automatical detect the objectionable videos by querying the video character database.Experiments show the method can accurately and quickly realize the detection and early warning of the objectionable videos.

Key words: objectionable videos, multiple color space, energy curve, video character database

CLC Number: 

  • TP391

[1] Jeong C Y,Kim J S,Hong K S.Appearance-based nude image detection[C]//Proceedings of the 17th International Conference on Pattern Recognition,2004:467-470.

[2] Lopes Ana P B,Sandra E F,De Avila.A bag- of-visual-features approach based on hue-sift descriptor for nude detection[C]//17th European Signal Processing Conference,2009:1552-1556.

[3] Kim C Y,Kwon O J,Kim W G,et al.Auto- matic system for filtering obscene video [C]//10th International Conference on Advanced Communication Technology,2008:1435-1438.

[4] Rea N,Lacey G,Lambe C,et al.Multi- modal periodicity analysis for illicit content detection in videos[C]//4th European Conferen- ce on Visual Media Production,2006:106-114.

[5] 吕丽,杨树堂.基于光流法的不良视频检测算法[J].计算机工程,2007,33(12):220-221. Lü Li,Yang Shu-tang.Objectionable videos detection algorithm based on optical flow[J].Computer Engineering,2007,33(12):220-221.

[6] 安红心.基于运动特征的不良视频检测算法[J].微计算机应用,2010,31(7):32-37. An Hong-xin.Objectonable video detection algorithm based on motion features [J].Microcomputer Applications,2010,31(7):32-37.

[7] 刘春,谢长生.基于Zernike矩变换与支持向量机的不良视频检测方法[J].武汉理工大学学报,2011,33(7):133-137. Liu Chun,Xie Chang-sheng.Research on adult image detection using zernike transform and support vector machine[J].Journal of Wuhan University of Technology,2011,33(7):133-137.

[8] 刘林,李金屏.基于多颜色空间和场均直方图的视频场景分类[J].中国体视学与图像分析,2011,16(1):67-74. Liu Lin,Li Jin-ping.Video scene classification based on multiple color spaces and average scene histogram[J].Chinese Journal of Stereology and Image Analysis,2011,16(1):67-74.

[9] Wang Li-wei,Zhang Yan,Feng Ju-fu.On the Euclidean distance of images[J].IEEE Transac- tions on Pattern Analysis and Machine Intelli- gence,2005,27(8):1334- 1339.

[10] 陈惠明.图像欧氏距离在人脸识别中的应用研究[J].计算机工程与设计,2008,29(14):3735- 3737. Chen Hui-ming.Application study of image Euclidean distance in face recognition[J].Compu- ter Engineering and Design,2008,29(14):3735- 3737.

[1] LI Bo, LIU Jing-xin, WANG Ke, LIU Tai-hui. Collecting energy distribution curve from diagnostic X-ray coherent scatter images [J]. 吉林大学学报(工学版), 2011, 41(增刊1): 336-338.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!