Paper Info
Title
How important is location information in saliency detection of natural images
Abstract
Location information, i.e., the position of content in image plane, is considered as an important supplement in saliency detection. The effect of location information is usually evaluated by integrating it with the selected saliency detection methods and measuring the improvement, which is highly influenced by the selection of saliency methods. In this paper, we provide direct and quantitative analysis of the importance of location information for saliency detection in natural images. We firstly analyze the relationship between content location and saliency distribution on four public image datasets, and validate the distribution by simply treating location based Gaussian distribution as saliency map. To further validate the effectiveness of location information, we propose a location based saliency detection approach, which completely initializes saliency maps with location information and propagate saliency among patches based on color similarity, and discuss the robustness of location information's effect. The experimental results show that location information plays a positive role in saliency detection, and the proposed method can outperform most state-of-the-art saliency detection methods and handle natural images with different object positions and multiple salient objects.
Year
DOI
Venue
2016
10.1007/s11042-015-2875-z
Multimedia Tools and Applications
Keywords
Field
DocType
Saliency detection,Location information,Patch representation,Saliency propagation
Computer vision,Saliency map,Kadir–Brady saliency detector,Pattern recognition,Computer science,Salience (neuroscience),Salient objects,Image plane,Robustness (computer science),Gaussian,Artificial intelligence
Journal
Volume
Issue
ISSN
75
5
1380-7501
Citations 
PageRank 
References 
11
0.53
37
Authors
4
Name
Order
Citations
PageRank
Tongwei Ren132830.22
Liu Yan282841.20
Ran Ju31087.87
Gangshan Wu427536.63