2 research outputs found
Context aware saliency map generation using semantic segmentation
Saliency map detection, as a method for detecting important regions of an
image, is used in many applications such as image classification and
recognition. We propose that context detection could have an essential role in
image saliency detection. This requires extraction of high level features. In
this paper a saliency map is proposed, based on image context detection using
semantic segmentation as a high level feature. Saliency map from semantic
information is fused with color and contrast based saliency maps. The final
saliency map is then generated. Simulation results for Pascal-voc11 image
dataset show 99% accuracy in context detection. Also final saliency map
produced by our proposed method shows acceptable results in detecting salient
points.Comment: 5 pages, 7 figures, 2 table