A global-local approach to saliency detection

Boudissa, A, Tan, J, Kim, H, Ishikawa, S, Shinomiya, T and Mikolajczyk, K (2013) A global-local approach to saliency detection Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8048 L (PART 2). pp. 332-337.

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Abstract

In this paper, we present a novel approach to saliency detection. We define a visually salient region with the following two properties; global saliency i.e. the spatial redundancy, and local saliency i.e. the region complexity. The former is its probability of occurrence within the image, whereas the latter defines how much information is contained within the region, and it is quantified by the entropy. By combining the global spatial redundancy measure and local entropy, we can achieve a simple, yet robust saliency detector. We evaluate it quantitatively and compare to Itti et al. [6] as well as to the spectral residual approach [5] on publicly available data where it shows a significant improvement. © 2013 Springer-Verlag.

Item Type:	Article
Authors :	Authors Email ORCID Boudissa, A UNSPECIFIED UNSPECIFIED Tan, J UNSPECIFIED UNSPECIFIED Kim, H UNSPECIFIED UNSPECIFIED Ishikawa, S UNSPECIFIED UNSPECIFIED Shinomiya, T UNSPECIFIED UNSPECIFIED Mikolajczyk, K UNSPECIFIED UNSPECIFIED
Date :	2013
Identification Number :	https://doi.org/10.1007/978-3-642-40246-3_41
Depositing User :	Symplectic Elements
Date Deposited :	28 Mar 2017 13:12
Last Modified :	28 Mar 2017 13:12
URI:	http://epubs.surrey.ac.uk/id/eprint/806144

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