A segment-based image saliency detection

This paper presents a novel method of visual saliency detection. The use of saliency promises benefits to multimedia applications. However, up to now just few reasonable applications of saliency exist. It is clear that limited accuracy is one of the possible reasons for this. Another reason could be that in general saliency allows us to detect salient regions of the image rather than objects. To fill this gap we study to what extend the integration of segmentation into saliency detection allows the estimation of saliency of objects. In this paper we propose a method that operates with segments rather than with separate pixels. The comparison with state-of-the-art methods shows that our method is successful in highlighting the mass of the object of interest. Finally, we discuss possible directions for the further work.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Oleg Muratov, Pamela Zontone, Giulia Boato, Francesco G. B. De Natale
• Keywords: ICASSP 2011, Limited Accuracy, Saliency Detection, Signal Processing, Visual Saliency Detection