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