In　this　Letter,　the　authors　put　forward　a　loose　classifier　to　determine　whether　the　content　of　a　given　image　belongs　to　screen　content　or　natural　scene.　In　the　proposed　classifier,　they　first　extract　14　features　by　means　of　three　typical　histograms,　the　greyscale　image　histogram,　local　binary　pattern　histograms,　and　histograms　of　the　oriented　gradient,　respectively.　Then,　in　the　second　step,　they　try　to　build　a　non-linear　mapping,　with　stacking-based　integrated　learners,　from　extracted　features　to　the　classification　label.　Experimental　results　prove　that　the　effectiveness　of　their　proposed　method　as　compared　with　popular　algorithms.