Saliency detection based on global color and space contrast

DOI

10.2991/ifmca-16.2017.7How to use a DOI?

Keywords

Saliency detection, global contrast, space contrast

Abstract

Saliency detection acts as an important role in many computer vision tasks. We propose a novel bottom-up, object-level saliency detection method based on global color and space contrast. The proposed method not only considers the global color contrast of the image but also takes the space information into account, leading to an advanced multi-feature combined saliency detection model. Through qualitative and quantitative evaluation, our method consistently outperformed 4 global color (or intensity)–based saliency detection methods, resulting in higher precision.

Copyright

© 2017, 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  - Yajie Zeng
AU  - Heng Li
AU  - Xinyu Chai
PY  - 2017/03
DA  - 2017/03
TI  - Saliency detection based on global color and space contrast
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 44
EP  - 47
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.7
DO  - 10.2991/ifmca-16.2017.7
ID  - Zeng2017/03
ER  -