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In this paper, a visual saliency model is used to detect the traffic signs in the natural images. A number of features consist of intensity, color opponency and orientations are extracted from the image by the model. Without the need for image segmentation, the saliency map indicating the area where the traffic signs are can be computed. From the experiments on the real scene images with the domestic...
In this research we present a novel cognition language model ViMac. Through the vision system ViMac can acquire the semantic of the objects shown in 2D images and output its own description for the new images. ViMac uses prototypes as its semantic representation and use KNN method to measure the similarity between these data points in visual subspaces. The BLEU evaluation shows that this method can...
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