X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/dc91e8c17710cc249f83001625e1d14581f2d276..9c37522d37b3caa216649cc98987e4c89b42091f:/experiments.tex?ds=sidebyside

diff --git a/experiments.tex b/experiments.tex
index 22900c0..61d2971 100644
--- a/experiments.tex
+++ b/experiments.tex
@@ -150,9 +150,12 @@ The steganalysis quality of our approach has been evaluated through the % two
 Ensemble Classifier~\cite{DBLP:journals/tifs/KodovskyFH12} based steganalyser.
 Its  particularization to spatial domain is 
 considered as state of the art steganalysers.
-Firstly, a space 
-of 686 co-occurrence and Markov features is extracted from the 
-set of cover images and the set of training images. Next a small 
+\JFC{Features that are embedded into this steganalysis process 
+are CCPEV and SPAM features as described 
+in~\cite{DBLP:dblp_conf/mediaforensics/KodovskyPF10}.
+These one are extracted from the 
+set of cover images and the set of training images.}
+Next a small 
 set of weak classifiers is randomly built,
 each one working on a subspace of all the features.
 The final classifier is constructed by a majority voting