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Multimodal periodicity analysis for illicit content detection in videos
3rd European Conference on Visual Media Production (CVMP 2006). Part of the 2nd Multimedia Conference 2006
In this paper, we propose a multimodal approach to illicit content detection in videos. Distribution of pornographic material over computer networks has been taking place since the inception of the internet. Until recently, most of the research focuses on illicit content detection in images and text. Typically it involves robust skin detection, texture characterisation, shape modelling and keyword filtering. Video however provides the opportunity of exploiting supplementary features includingdoi:10.1049/cp:20061978 fatcat:2dzalea2lrevfnliqzvlnrrfge