DocumentCode :
2187975
Title :
Context-based hierarchical saliency detection for mobile hotspot
Author :
Siratanita, Sirimamayvadee ; Chamnongthai, Kosin
Author_Institution :
Department of Electronic and Telecommunication Engineering, King Mongkut´s University of Technology Thonburi, Bangkok, Thailand
fYear :
2015
fDate :
21-24 July 2015
Firstpage :
1058
Lastpage :
1061
Abstract :
Embedded hotspot applications, especially advertisements, supporting by 3/4G technology are now rising rapidly. Defining hotspot by finding attention region using saliency is one of interesting. In this paper, we proposed context-based hierarchical saliency feature detection. To construct saliency map, two main features are considered as the context, local and global features. The areas that have distinctive color which obtains high saliency, and blurred areas which give low saliency are considered as local. Moreover, the frequency-occurring information is consider as background which is pressed is considered as global. In experiments, our proposed method comparing with conventional hierarchical saliency framework shows high the recall and F-measure value.
Keywords :
Context; IEEE 802.11 Standard; Image color analysis; Image segmentation; Mathematical model; Mobile communication; Visualization; advertisements; context-based detection; hierarchical saliency; hotspot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing (DSP), 2015 IEEE International Conference on
Conference_Location :
Singapore, Singapore
Type :
conf
DOI :
10.1109/ICDSP.2015.7252040
Filename :
7252040
Link To Document :
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