NDLI: Co-saliency detection via similarity-based saliency propagation

Content Provider	IEEE Xplore Digital Library
Author	Chenjie Ge Keren Fu Yijun Li Jie Yang Pengfei Shi Li Bai
Copyright Year	2015
Description	Author affiliation: Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China (Chenjie Ge; Keren Fu; Yijun Li; Jie Yang; Pengfei Shi) \|\| Univ. of Nottingham, Nottingham, UK (Li Bai)
Abstract	In this paper, we present a method for discovering the common salient objects from a set of images. We treat co-saliency detection as a pairwise saliency propagation problem, which utilizes the similarity between each pair of images to measure the common property with the guidance of a single saliency map image. Given the pairwise co-salient foreground maps, pairwise saliency is optimized by combining the initial background cues. Pairwise co-salient maps are then fused according to a novel fusion strategy based on the focus of human attention. Finally we adopt an integrated multi-scale scheme to obtain the pixel-level saliency map. Our proposed model makes the existing single saliency model perform well in co-saliency detection and is not overly sensitive to the initial saliency model selected. Extensive experiments on two benchmark databases show the superiority of our co-saliency model against the state-of-the-art methods both subjectively and objectively.
Starting Page	1845
Ending Page	1849
File Size	1302956
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Image color analysis Optimization Benchmark testing Image segmentation Manifolds Smoothing methods attention based fusion Co-saliency detection pairwise saliency propagation optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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