IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual information retrieval
Information Retrieval
Modern Information Retrieval
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indexing of handwritten document images
DIA '97 Proceedings of the 1997 Workshop on Document Image Analysis
Word Spotting: A New Approach to Indexing Handwriting
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Searching Off-line Arabic Documents
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
International Journal of Computer Vision
Word spotting for historical documents
International Journal on Document Analysis and Recognition
Keyword-guided word spotting in historical printed documents using synthetic data and user feedback
International Journal on Document Analysis and Recognition
Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Indexing Historical Documents by Word Shape Signatures
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Localizing Objects with Smart Dictionaries
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Handwritten word-spotting using hidden Markov models and universal vocabularies
Pattern Recognition
Slit Style HOG Feature for Document Image Word Spotting
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Score normalization in multimodal biometric systems
Pattern Recognition
A word spotting framework for historical machine-printed documents
International Journal on Document Analysis and Recognition - Special issue on noisy text analytics
Unconstrained handwritten document retrieval
International Journal on Document Analysis and Recognition - Special issue on noisy text analytics
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A keyword spotting approach using blurred shape model-based descriptors
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
A Novel Word Spotting Method Based on Recurrent Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel word spotting algorithm using bidirectional long short-term memory neural networks
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
Lexicon-free handwritten word spotting using character HMMs
Pattern Recognition Letters
The Role of the Users in Handwritten Word Spotting Applications: Query Fusion and Relevance Feedback
ICFHR '12 Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition
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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.