DocumentCode
2608358
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
fYear
2009
fDate
18-20 Oct. 2009
Firstpage
183
Lastpage
187
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICBNMT.2009.5348475
Filename
5348475
Link To Document