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Author (up) Marçal Rusiñol; Josep Llados edit  doi
  Title Boosting the Handwritten Word Spotting Experience by Including the User in the Loop Type Journal Article
  Year 2014 Publication Pattern Recognition Abbreviated Journal PR  
  Volume 47 Issue 3 Pages 1063–1072  
  Keywords Handwritten word spotting; Query by example; Relevance feedback; Query fusion; Multidimensional scaling  
  Abstract In this paper, we study the effect of taking the user into account in a query-by-example handwritten word spotting framework. Several off-the-shelf query fusion and relevance feedback strategies have been tested in the handwritten word spotting context. The increase in terms of precision when the user is included in the loop is assessed using two datasets of historical handwritten documents and two baseline word spotting approaches both based on the bag-of-visual-words model. We finally present two alternative ways of presenting the results to the user that might be more attractive and suitable to the user's needs than the classic ranked list.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0031-3203 ISBN Medium  
  Area Expedition Conference  
  Notes DAG; 600.045; 600.061; 600.077 Approved no  
  Call Number Admin @ si @ RuL2013 Serial 2343  
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