Total Recall II: Query Expansion Revisited
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187110" target="_blank" >RIV/68407700:21230/11:00187110 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CVPR.2011.5995601" target="_blank" >http://dx.doi.org/10.1109/CVPR.2011.5995601</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR.2011.5995601" target="_blank" >10.1109/CVPR.2011.5995601</a>
Alternative languages
Result language
angličtina
Original language name
Total Recall II: Query Expansion Revisited
Original language description
Most effective particular object and image retrieval approaches are based on the bag-of-words (BoW) model. All state-of-the-art retrieval results have been achieved by methods that include a query expansion that brings a significant boost in performance.We introduce three modifications to automatic query expansion: (i) a method capable of preventing query expansion failure caused by the presence of confusers, (ii) an improved spatial verification and re-ranking step that incrementally builds a statistical model of the query object and (iii) we learn relevant spatial context to boost retrieval performance. The three improvements of query expansion were evaluated on established Paris and Oxford datasets according to a standard protocol, and state-of-the-art results were achieved.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/7E10045" target="_blank" >7E10045: Massive Sets of Heuristics for Machine Learning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVPR 2011: Proceedings of the 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4577-0393-5
ISSN
1063-6919
e-ISSN
—
Number of pages
8
Pages from-to
889-896
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Colorado Springs
Event date
Jun 20, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000295615800111