A method of salient object region extraction by virtual super pixel(VSP) is applied to ECSSD(extended complex saliency dataset) composed of 1000 images and compared with state of the art using F-measure．The F-measure at zero threshold of the presented method was about the same as those at the best threshold of the-state-of-art methods. ECSSD is harder than MSRA1000 as the highest frequency of the latter is at around 0.9 of the chi-square distance between GT and the background and it of ECSSD at around 0.25.
