Evaluating weighting schemes for adult image detection using bag of visual words

As a growing number of minors are exposed to pornographic multimedia, the need to prevent inappropriate access to this has increased. Adult image detection i s a n important technology for this purpose, and several algorithms have been proposed. However, the simple methods such as analyzing skin regions or global histogram suffer from low classification accuracy. Recent advances in adult image detection used bag of visual words approach and showed promising result. In this paper, we experiment with several weighting schemes for visual words histogram construction and show that classification accuracy can be increased.