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In order to protect an image search engine's users from undesirable resultsadult images' classifier should be built. The information about links fromwebsites to images is employed to create such a classifier. These links arerepresented as a bipartite website-image graph. Each vertex is equipped withscores of adultness and decentness. The scores for image vertexes areinitialized with zero, those for website vertexes are initialized according toa text-based website classifier. An iterative algorithm that propagates scoreswithin a website-image graph is described. The scores obtained are used toclassify images by choosing an appropriate threshold. The experiments onInternet-scale data have shown that the algorithm under consideration increasesclassification recall by 17% in comparison with a simple algorithm whichclassifies an image as adult if it is connected with at least one adult site(at the same precision level).

Link Graph Analysis for Adult Images Classification