科研成果详情

题名A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance
作者
发表日期2017
发表期刊IEEE Transactions on Systems, Man, and Cybernetics: Systems
ISSN/eISSN2168-2216
卷号47期号:1页码:86-97
摘要This paper presents a visual saliency detection approach, which is a hybrid of local feature-based saliency and global feature-based saliency (simply called local saliency and global saliency, respectively, for short). First, we propose an automatic selection of smoothing parameter scheme to make the foreground and background of an input image more homogeneous. Then, we partition the smoothed image into a set of regions and compute the local saliency by measuring the color and texture dissimilarity in the smoothed regions and the original regions, respectively. Furthermore, we utilize the global color distribution model embedded with color coherence, together with the multiple edge saliency, to yield the global saliency. Finally, we combine the local and global saliencies, and utilize the composition information to obtain the final saliency. Experimental results show the efficacy of the proposed method, featuring: 1) the enhanced accuracy of detecting visual salient region and appearance in comparison with the existing counterparts, 2) the robustness against the noise and the low-resolution problem of images, and 3) its applicability to multisaliency detection task.
关键词Gradient minimization multiple salient edges saliency detection visual attention
DOI10.1109/TSMC.2016.2564922
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语种英语English
Scopus入藏号2-s2.0-85007493478
引用统计
被引频次:28[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6386
专题北师香港浸会大学
作者单位
1.Department of Computer Science,Hong Kong Baptist University,Hong Kong,Hong Kong
2.United International College,Beijing Normal University-Hong Kong Baptist University,Zhuhai,519000,China
3.School of Electronic Information and Communications,Huazhong University of Science and Technology,Wuhan,430074,China
4.Department of Computer and Information Science,Faculty of Science and Technology,University of Macau,Macau,999078,Macao
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GB/T 7714
Peng,Qinmu,Cheung,Yiu Ming,You,Xingeet al. A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(1): 86-97.
APA Peng,Qinmu, Cheung,Yiu Ming, You,Xinge, & Tang,Yuan Yan. (2017). A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(1), 86-97.
MLA Peng,Qinmu,et al."A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance". IEEE Transactions on Systems, Man, and Cybernetics: Systems 47.1(2017): 86-97.
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