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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