Sentence examples for salient object and from inspiring English sources

The SD constraint is developed to detect the salient object and its background.

If the salient object and background change simultaneously, the quality of the estimated saliency map is degraded rapidly.

Before the salient object and content are damaged obviously, we stop Seam Carving and transfer residual task to Scaling.

These methods can achieve good accuracy of saliency detection in a scene which consists of a single salient object and a simple background.

The salient object and feature line locations in the cropped image are further optimally adjusted by adopting a triangular mesh-based warping technique, which also allows fitting the proposed approach for image retargeting.

Generally speaking, for most of the grey-level and multi-spectral images, we used the parameters λ = 5, μ=0.04, and ν = 3 (note that we should set ν = −3 if the initial level set is computed from the region enclosed by the salient object), and the curves evolutions take from 280 to 600 iterations.

As shown, the proposed method can accurately locate the salient objects and produce nearly equal saliency values for the pixels within the target objects.

In this paper, we design a new approach to detect salient objects from an image by describing what does salient objects and backgrounds look like using statistic of the image.

We removed RGB-D image pairs with severely overlapping salient objects and this leaves us with 992 images out of 1000 images from NLPR dataset.

We employ Seam Carving, at the beginning of resizing, to remove unimportant regions, then Scaling to preserve the salient objects and global visual effect.

We propose a tool for the automatic detection and tracking of salient objects, and derivation of spatio-temporal relations between them in video.