Paper Info
Title
Statistical Color Model Based Adult Video Filter
Abstract
This paper, guided by Statistical Color Models, proposes a real-time Adult Video detector to filter the adult content in the video. A generic color model is constructed by statistical analysis of the sample images containing adult pixels. We fully utilize the video continuity characteristics, i.e. preceding and following N frames considered in the classification. Our method, through experimental, displays a satisfactory performance for detecting adult content. The reminder of the paper addresses the application of real-time adult video filter that blocks adult content from kids.
Year
DOI
Venue
2012
10.1109/ICMEW.2012.66
ICME Workshops
Keywords
Field
DocType
adult video filter,video continuity characteristic,generic color model,sample image,adult pixel,adult content,n frame,real-time adult video detector,blocks adult content,statistical color models,real-time adult video filter,statistical analysis,histograms,skin,color,mathematical model
Filter (video),Computer vision,Histogram,Computer graphics (images),Computer science,Video streaming,Artificial intelligence,Color model,Pixel,Detector,Video quality,Statistical analysis
Conference
ISSN
Citations 
PageRank 
2330-7927
2
0.37
References 
Authors
5
5
Name
Order
Citations
PageRank
Liang Yin114322.79
Mingzhi Dong252.46
Weihong Deng3116277.22
Jun Guo41579137.24
Bin Zhang521341.40