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.