DocumentCode :
595500
Title :
Efficient and robust image descriptor for GUI object classification
Author :
Dubrovina, Anastasia ; Kisilev, Pavel ; Freedman, Daniel ; Schein, S. ; Bergman, Rebecca
Author_Institution :
Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
3594
Lastpage :
3597
Abstract :
Graphical User Interface (GUI) object classification is essential for image-based software automation tools. The challenges posed by GUI object classification are significantly different from those in natural image classification. In this paper we present a novel image descriptor developed specifically for GUI objects; it is robust to various changes in the appearance of GUI objects, such as various screen resolution, ”skin”, as well as various operating system related. We use this image descriptor with Support Vector Machine classifier, and experimentally show the descriptor robustness to the above transformations, and its superior performance compared to existing image descriptors.
Keywords :
graphical user interfaces; image classification; object recognition; support vector machines; vocabulary; GUI object classification; graphical user interface object classification; image descriptors; image-based software automation tools; natural image classification; operating system; robust image descriptor; screen resolution; support vector machine classifier; Feature extraction; Graphical user interfaces; Kernel; Robustness; Support vector machines; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460942
Link To Document :
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