Saliency Detection Integrated with Depth Information

DOI

10.2991/cisia-15.2015.181How to use a DOI?

Keywords

image saliency detection; complex scene image; spatial relation; depth information

Abstract

Most bottom-up saliency detection methods only perform outstandingly on simple image but when operating on complex one, results are not satisfactory. In a complex scene image, more image features demand being taking into consideration, the most important one of which is the spatial relation of different objects. Aiming at this problem, a new image saliency detection method is proposed based on frequency-tuned (FT) salient region detection. In our method, depth map of the image are constructed and then depth information of every object are added to the calculation of saliency to improve FT. Experimental results illustrate that our proposed method outperforms the original one and thus the salient regions are more evident in the ultimate saliency map.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - R.D Tang
AU  - C.R Yu
AU  - S.H Qian
AU  - W.Y Yu
PY  - 2015/06
DA  - 2015/06
TI  - Saliency Detection Integrated with Depth Information
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 663
EP  - 665
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.181
DO  - 10.2991/cisia-15.2015.181
ID  - Tang2015/06
ER  -