Comparing Color Descriptors between Image Segments for Saliency Detection

Anurag Singh, Henry Chu, Michael Pratt

Abstract

Detecting salient regions in an image or video frame is an important step in early vision and image understanding. We present a visual saliency detection method by measuring the difference in color content of an image segment with that of its neighbors. We represent each segment with richer color descriptors in the form of a regional dominant color descriptor. The color difference between a pair of neighbors is found using the Earth Mover’s Distance. The cost of moving color descriptors between neighboring segments robustly captures the difference between neighboring segments. We evaluate our method on standard datasets and compare it with other state-of-the-art methods to demonstrate that it has better true positive rate at a fixed false positive rate in detecting salient pixels relative to the ground truth. The proposed method uses local cues without being an edge highlighter, a common problem of local contrast-based methods.

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Paper Citation


in Harvard Style

Singh A., Chu H. and Pratt M. (2016). Comparing Color Descriptors between Image Segments for Saliency Detection . In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 558-565. DOI: 10.5220/0005667705580565


in Bibtex Style

@conference{icpram16,
author={Anurag Singh and Henry Chu and Michael Pratt},
title={Comparing Color Descriptors between Image Segments for Saliency Detection},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={558-565},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005667705580565},
isbn={978-989-758-173-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Comparing Color Descriptors between Image Segments for Saliency Detection
SN - 978-989-758-173-1
AU - Singh A.
AU - Chu H.
AU - Pratt M.
PY - 2016
SP - 558
EP - 565
DO - 10.5220/0005667705580565