Saliency detection based on global color and space contrast
Yajie Zeng, Heng Li, Xinyu Chai
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.7How to use a DOI?
- Saliency detection, global contrast, space contrast
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/ifmca-16.2017.7 ID - Zeng2017/03 ER -