DocumentCode :
2870413
Title :
Extraction of relevant information from document images using measures of visual attention
Author :
Maderlechner, Gerd ; Schreyer, Angela ; Suda, Peter
Author_Institution :
Corp. Technol., Siemens AG, Munich, Germany
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
385
Abstract :
This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as texture in different resolution levels. A new measure of attractiveness is introduced. The segmentation is generic and not limited to specific document classes and models. The resulting regions of interest may be used for further interpretation. The overall speed of browsing and searching large volumes of scanned documents can be increased considerably
Keywords :
document image processing; image segmentation; attention based layout segmentation; attractiveness measures; browsing speed; document images; generic image segmentation; human visual perception; relevant information extraction; scanned document searching speed; visual attention measures; Data mining; Graphics; Humans; Layout; Psychology; Size measurement; Space technology; Streaming media; Visual perception; White spaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.902939
Filename :
902939
Link To Document :
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