Zdziarski, Zdziarski and Dahyot, Rozenn (2014) Extension of GBVS to 3D media. 2014 22nd Signal Processing and Communications Applications Conference (SIU). pp. 2296-2300. ISSN 2165-0608

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Abstract

Visual saliency has been studied extensively in the past decades through perceptual studies using eye tracking technologies and 2D displays. Visual saliency algorithms have been successfully developed to mimick the human ability to quickly spot informative local areas in images. This paper proposes to investigate the extension of visual saliency algorithms to media displayed in 3D. We show first that the Graph-Based Visual Saliency (GBVS) algorithm outperforms all the other common 2D algorithms as well as their 3D extensions. This paper then extends GBVS to 3D and shows that these new 3D GBVS based algorithms outperform other past algorithms.

Item Type:	Article
Keywords:	extension; GBVS; 3D Media;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15265
Identification Number:	https://doi.org/10.1109/SIU.2014.6830723
Depositing User:	Rozenn Dahyot
Date Deposited:	18 Jan 2022 15:43
Journal or Publication Title:	2014 22nd Signal Processing and Communications Applications Conference (SIU)
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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