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Particularly, the hit rate is the ratio of ground truth fixated locations classified as fixated, and we threshold the saliency map such that a given percentage of the most salient image pixels is predicted as fixated and the rest of the image is predicted as non-fixated.
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Therefore, we adopted the "Naive" strategy in [29] for its low complexity and unsupervised purpose, the normalization operator is, which adjusts the saliency value to fixed rang 0 255 (value 255 indicates being most salient) for image.
The link between the rave scene and the structures in Marc's photos is perhaps most salient in the image of the front gun placements in Portland, Dorset.
However, to improve image retrieval accuracy, considering only the most salient object in an image is insufficient because the background also influences the accuracy of image retrieval.
The most salient element of that image was not the President offering assurances on behalf of an embattled governor — rather, it was that the governor thought those assurances were still worth having.
We propose to use only the most salient part of the image to initialize the position of the active contour.
The final step is the determination of the most salient part of the image using a Winner-Take-All (WTA) neural network; see Figure 1. Figure 1 Visual attention method.
A normalized saliency map is used so that the most salient regions in two images have an equal importance of.
The method developed in this research identifies related annotated tags supplied from a web based experiment in which users were asked to tag the most salient features on urban images for the purposes of navigation and exploration.
These effects on the surface image are most salient on mirror-like surfaces.
The background prior leverages the fact that most salient objects are located far from image boundaries [7].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com