TY - GEN
T1 - Salient region detection using local and global saliency
AU - Cheung, Yiu Ming
AU - Peng, Qinmu
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012/11
Y1 - 2012/11
N2 - In this paper, we present a novel local-global salient region detection method. We first obtain the smoothed image via gradient minimization, resulting in more homogeneous background. Then, we partition the smoothed image into a set of regions and compute the region saliency by measuring the dissimilarity and spatial distance. Furthermore, we adopt the global color distribution, including the color coherence, to yield global saliency region. Finally, we combine the local-and-global salient regions and the composition information to obtain the overall salient regions. Experimental results show the efficacy of the proposed method in comparison with the existing methods.
AB - In this paper, we present a novel local-global salient region detection method. We first obtain the smoothed image via gradient minimization, resulting in more homogeneous background. Then, we partition the smoothed image into a set of regions and compute the region saliency by measuring the dissimilarity and spatial distance. Furthermore, we adopt the global color distribution, including the color coherence, to yield global saliency region. Finally, we combine the local-and-global salient regions and the composition information to obtain the overall salient regions. Experimental results show the efficacy of the proposed method in comparison with the existing methods.
UR - http://www.scopus.com/inward/record.url?scp=84874563261&partnerID=8YFLogxK
M3 - Conference proceeding
AN - SCOPUS:84874563261
SN - 9784990644109
T3 - Proceedings - International Conference on Pattern Recognition
SP - 210
EP - 213
BT - Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)
PB - IEEE
T2 - 21st International Conference on Pattern Recognition, ICPR 2012
Y2 - 11 November 2012 through 15 November 2012
ER -