Title :
Browsing graphics without prior knowledge
Author :
Zuwala, D. ; Rendek, J.
Author_Institution :
LORIA-INPL, Villers-les-Nancy
Abstract :
In this paper, we present a system to browse a set of graphical documents without prior knowledge of their content. This system relies on a new structural method locating regions potentially embedding a symbol, using an unsupervised reconstruction of the documents from their representation as chain of points. The method is complemented by a querying mechanism that retrieves from these regions those that are the most similar to a given input symbol. This mechanism uses a specific user feedback scheme to improve the accuracy of the retrieval
Keywords :
document image processing; image reconstruction; image retrieval; graphical document browsing; querying mechanism; relevance feedback; unsupervised document reconstruction; Contracts; Dynamic programming; Explosions; Extremities; Feedback; Graphics; Pattern recognition; Research and development; System testing; Technical drawing;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.342