DocumentCode :
2730460
Title :
Image retrieve using visual attention weight model
Author :
Zhihong, Chen ; Zhiyong, Feng ; Yongxin, Yu
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
718
Lastpage :
721
Abstract :
In order to improve the precision of image retrieve, this paper proposes an image retrieve method base on visual attention weight model. This method is based on multiple visual attention mechanism of human´s eye. By computing the visual attention weight of image regions, we can obtain the focus region of the image. Then we use SVM classification retrieve based on focus region. The experiment shows that the new model can recognize the focus region of the image precisely and improve precision of image retrieve.
Keywords :
image classification; image retrieval; probability; support vector machines; SVM classification retrieval; focus region recognition; image region; image retrieve method; multiple visual attention mechanism; visual attention weight model; Brightness; Computational modeling; Databases; Image color analysis; Semantics; Support vector machines; Visualization; Image retrieve; SVM; Visual attention weight model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9699-0
Type :
conf
DOI :
10.1109/ICSESS.2011.5982433
Filename :
5982433
Link To Document :
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