Title :
A method for reciprocating motion detection in porn video based on motion features
Author :
Zhiyi, Qu ; Yanmin, Liu ; Ying, Liu ; Kang, Jiu ; Yong, Chen
Author_Institution :
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
Abstract :
This paper presents a new algorithm for detecting the human´s reciprocating motion in pornographic videos. First, the motion vector is extracted from mpeg video stream and pretreated so that the motion features are extracted by analyzing the motion rule of the objectionable videos. Then the whole videos are detected through setting a threshold. Experimental results demonstrate that the correct recognition rate of this algorithm is up to 80%, so it is fit for the most of video detection environments.
Keywords :
feature extraction; image motion analysis; video signal processing; feature extraction; motion detection; motion features; pornographic videos; Data mining; Face detection; Humans; Motion analysis; Motion detection; Motion estimation; Optical filters; Skin; Streaming media; Transform coding; Direction Histogram; Motion Vector; Motion features; Porn video; Reciprocating motion;
Conference_Titel :
Broadband Network & Multimedia Technology, 2009. IC-BNMT '09. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4590-5
Electronic_ISBN :
978-1-4244-4591-2
DOI :
10.1109/ICBNMT.2009.5348475
