In this paper we propose a novel computational method to infer
visual saliency in images. The computational method is
based on the idea that salient objects should have local characteristics
that are different than the rest of the scene, being
edges, color or shape, and that these characteristics can be
combined to infer global information. The proposed approach
is fast, does not require any learning and the experimentation
shows that it can enhance interesting objects in images, improving
the state of the art performance on a public dataset.
http://www.science.uva.nl/research/publications/2009/ValentiICCV2009/
@InProceedings{ValentiICIP2009,
author = "Valenti, R. and Sebe, N. and Gevers, T.",
title = "Isocentric Color Saliency in Images",
booktitle = "IEEE International Conference on Image Processing",
year = "2009",
url = "https://ivi.fnwi.uva.nl/isis/publications/2009/ValentiICIP2009",
has_image = 1
}