Salient Region Detection via Feature Combination and Discriminative Classifier
Joint Authors
Kong, Deming
Duan, Liangliang
Wu, Peiliang
Yang, Wenji
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We introduce a novel approach to detect salient regions of an image via feature combination and discriminative classifier.
Our method, which is based on hierarchical image abstraction, uses the logistic regression approach to map the regional feature vector to a saliency score.
Four saliency cues are used in our approach, including color contrast in a global context, center-boundary priors, spatially compact color distribution, and objectness, which is as an atomic feature of segmented region in the image.
By mapping a four-dimensional regional feature to fifteen-dimensional feature vector, we can linearly separate the salient regions from the clustered background by finding an optimal linear combination of feature coefficients in the fifteen-dimensional feature space and finally fuse the saliency maps across multiple levels.
Furthermore, we introduce the weighted salient image center into our saliency analysis task.
Extensive experiments on two large benchmark datasets show that the proposed approach achieves the best performance over several state-of-the-art approaches.
American Psychological Association (APA)
Kong, Deming& Duan, Liangliang& Wu, Peiliang& Yang, Wenji. 2015. Salient Region Detection via Feature Combination and Discriminative Classifier. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074876
Modern Language Association (MLA)
Kong, Deming…[et al.]. Salient Region Detection via Feature Combination and Discriminative Classifier. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1074876
American Medical Association (AMA)
Kong, Deming& Duan, Liangliang& Wu, Peiliang& Yang, Wenji. Salient Region Detection via Feature Combination and Discriminative Classifier. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074876
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074876