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Query Simplification and Strategy Selection for Image Retrieval
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90291315th International Conference on Patt ...
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R. Brunelli, O. Mich, "Query Simplification and Strategy Selection for Image Retrieval," Pattern Recognition, International Conference on, vol. 4, pp. 4279, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 4, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.902913,
author = {R. Brunelli and O. Mich},
title = {Query Simplification and Strategy Selection for Image Retrieval},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2000},
isbn = {0-7695-0750-6},
pages = {4279},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.902913},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Query Simplification and Strategy Selection for Image Retrieval
SN - 0-7695-0750-6
SP
EP
A1 - R. Brunelli,
A1 - O. Mich,
PY - 2000
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
O. Mich, ITC
While many systems are currently available supporting the query-by-example paradigm for image retrieval, some key issues, such as the effective introduction of relevance feedback and the automatic selection of an optimal search strategy, need further investigation. This paper discusses query splitting as a way to improve the effectiveness of relevance feedback techniques based on feature weighting. The possibility of selecting among a set of image retrieval strategies the one which optimizes speed and quality on each given query is also presented and discussed.
Citation:
R. Brunelli, O. Mich, "Query Simplification and Strategy Selection for Image Retrieval," icpr, vol. 4, pp.4279, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 4, 2000
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