%0 Journal Article
	%A Hajar Bouirouga and  Sanaa El Fkihi  and  Abdeilah Jilbab and  Driss Aboutajdine
	%D 2011
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 53, 2011
	%T Comparison of Performance between Different SVM Kernels for the Identification of Adult Video
	%U https://publications.waset.org/pdf/13745
	%V 53
	%X In this paper we propose a method for recognition of
adult video based on support vector machine (SVM). Different kernel
features are proposed to classify adult videos. SVM has an advantage
that it is insensitive to the relative number of training example in
positive (adult video) and negative (non adult video) classes. This
advantage is illustrated by comparing performance between different
SVM kernels for the identification of adult video.
	%P 438 - 441