Salient Region Detection based on Frequency-tuning and Region Contrast

DOI

10.2991/csss-14.2014.171How to use a DOI?

Keywords

Image retrieval; Semantic gap; Saliency detection; Region-level saliency map; Visual attention

Abstract

Frequency-tuned saliency detection analyzes image saliency from the perspective of frequency domain and fully combines image segmentation method, which outputs well-defined boundaries of salient objects. However, the method ignores spatial relationships across image parts. This paper proposes an improved saliency detection method on the basis of the frequency-tuned method. In this method, we first segment the input image into regions and then analyze the image from the frequency domain. After that, we preprocess it using Gaussian filter to eliminate noise and coding artifacts. For each region, we can get saliency map in region-level based on region contrast. Finally, salient regions are selected by “winner-take-all” (WTA) neural network and Inhibition of Return(IOR) mechanism. The proposed salient region detection algorithm combines the virtues of frequency-tuning and region contrast. The experimental results show the feasibility and validity of this algorithm.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li-hua Fu
AU  - Liang Guo
AU  - Wei-dong Wu
PY  - 2014/06
DA  - 2014/06
TI  - Salient Region Detection based on Frequency-tuning and Region Contrast
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 732
EP  - 735
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.171
DO  - 10.2991/csss-14.2014.171
ID  - Fu2014/06
ER  -