%0 Book
%T Symbol Spotting in Digital Libraries:Focused Retrieval over Graphic-rich Document Collections
%A Marçal Rusiñol
%A Josep Llados
%D 2010
%I Springer
%@ 978-1-84996-208-7
%F Marçal Rusiñol2010
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1292), last updated on Thu, 29 Nov 2012 13:42:46 +0100
%X The specific problem of symbol recognition in graphical documents requires additional techniques to those developed for character recognition. The most well-known obstacle is the so-called Sayre paradox: Correct recognition requires good segmentation, yet improvement in segmentation is achieved using information provided by the recognition process. This dilemma can be avoided by techniques that identify sets of regions containing useful information. Such symbol-spotting methods allow the detection of symbols in maps or technical drawings without having to fully segment or fully recognize the entire content.This unique text/reference provides a complete, integrated and large-scale solution to the challenge of designing a robust symbol-spotting method for collections of graphic-rich documents. The book examines a number of features and descriptors, from basic photometric descriptors commonly used in computer vision techniques to those specific to graphical shapes, presenting a methodology which can be used in a wide variety of applications. Additionally, readers are supplied with an insight into the problem of performance evaluation of spotting methods. Some very basic knowledge of pattern recognition, document image analysis and graphics recognition is assumed.
%K Focused Retrieval
%K Graphical Pattern Indexation
%K Graphics Recognition
%K Pattern Recognition
%K Performance Evaluation
%K Symbol Description
%K Symbol Spotting