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Authors: Anurag Singh ; Henry Chu and Michael Pratt

Affiliation: University of Louisiana at Lafayette, United States

Keyword(s): Visual Saliency, Superpixels, Earth Mover’s Distance, Dominant Color Descriptors.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Pattern Recognition ; Perception ; Sensors and Early Vision ; Software Engineering

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 several formats:
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 - ICPRAM; ISBN 978-989-758-173-1; ISSN 2184-4313, SciTePress, pages 558-565. DOI: 10.5220/0005667705580565

@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 - ICPRAM},
year={2016},
pages={558-565},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005667705580565},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Comparing Color Descriptors between Image Segments for Saliency Detection
SN - 978-989-758-173-1
IS - 2184-4313
AU - Singh, A.
AU - Chu, H.
AU - Pratt, M.
PY - 2016
SP - 558
EP - 565
DO - 10.5220/0005667705580565
PB - SciTePress