@article {aVilaplana,
	title = {Saliency Maps on Image Hierarchies},
	journal = {Signal Processing: Image Communication. Special Issue on Recent Advances in Saliency  Models, Applications and Evaluations},
	volume = {38},
	year = {2015},
	pages = {84-99},
	abstract = {<p>In this paper we propose two saliency models for salient object segmentation based on a hierarchical image segmentation, a tree-like structure that represents regions at dierent scales from the details to the whole image (e.g. gPb-UCM, BPT). The first model is based on a hierarchy of image partitions. The saliency at each level is computed on a region basis, taking into account the contrast between regions. The maps obtained for the dierent partitions are then integrated into a nal saliency map. The second model directly works on the structure created by the segmentation algorithm, computing saliency at each node and integrating these cues in a straightforward manner into a single saliency map. We show that the proposed models produce high quality saliency maps. Objective evaluation demonstrates that the two methods achieve state-of-the-art performance in several benchmark datasets.</p>},
	issn = {0923-5965},
	author = {Ver{\'o}nica Vilaplana}
}
