DocumentCode :
3449799
Title :
Analysis and realization of saliency map based on visual attention mechanism
Author :
Yaqi Hu ; Fang Meng
Author_Institution :
Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
415
Lastpage :
419
Abstract :
In the field of digital image processing, the introduction of visual attention mechanism is of great significance to the efficiency improving in image analysis. This paper at first briefly introduces the concept of visual attention mechanism. After that, it analyzes and implements an algorithm and demonstrates its reliability and effectiveness by a large number of experiments. At last, the paper focuses on discussing the improvement methods of the algorithm, and then proposing application prospects of saliency maps such as image compression, website construction and evaluation of image quality.
Keywords :
image coding; Website construction; digital image processing; image analysis; image compression; image quality; visual attention mechanism; Algorithm design and analysis; Feature extraction; Humans; Image coding; Image color analysis; Image resolution; Visualization; difference pyramid; feature component; saliency map; visual attention mechanism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6470028
Filename :
6470028
Link To Document :
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