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Analyzing and dynamically indexing the query set

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10291426" target="_blank" >RIV/00216208:11320/14:10291426 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.is.2013.05.010" target="_blank" >http://dx.doi.org/10.1016/j.is.2013.05.010</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.is.2013.05.010" target="_blank" >10.1016/j.is.2013.05.010</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analyzing and dynamically indexing the query set

  • Original language description

    Most of the current metric indexes focus on indexing the collection of reference. In this work we study the problem of indexing the query set by exploiting some property that query objects may have. Thereafter, we present the Snake Table, which is an index structure designed for supporting streams of k-NN searches within a content-based similarity search framework. The index is created and updated in the online phase while resolving the queries, thus it does not need a preprocessing step. This index isintended to be used when the stream of query objects fits a snake distribution, that is, when the distance between two consecutive query objects is small. In particular, this kind of distribution is present in content-based video retrieval systems, imageclassification based on local descriptors, rotation-invariant shape matching, and others. We show that the Snake Table improves the efficiency of k-NN searches in these systems, avoiding the building of a static index in the offline phas

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F11%2F0968" target="_blank" >GAP202/11/0968: Large-scale Nonmetric Similarity Search in Complex Domains</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Information Systems

  • ISSN

    0306-4379

  • e-ISSN

  • Volume of the periodical

    45

  • Issue of the periodical within the volume

    September

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    37-47

  • UT code for WoS article

    000338613900004

  • EID of the result in the Scopus database