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Video Retrieval with Feature Signature Sketches

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10281463" target="_blank" >RIV/00216208:11320/14:10281463 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-11988-5_3" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-11988-5_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-11988-5_3" target="_blank" >10.1007/978-3-319-11988-5_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Video Retrieval with Feature Signature Sketches

  • Original language description

    In this paper, we present an effective yet efficient approach for known-item search in video data. The approach employs feature signatures based on color distribution to represent video key-frames. At the same time, the feature signatures enable users tointuitively draw simple colored sketches of the desired scene. We describe in detail the video retrieval model and also discuss and carefully optimize its parameters. Furthermore, several indexing techniques suitable for the model are presented and their performance is empirically evaluated in the experiments. Apart from that, we also investigate a bounding-sphere pruning technique suitable for similarity search in vector spaces.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

  • Article name in the collection

    Similarity Search and Applications

  • ISBN

    978-3-319-11987-8

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    25-36

  • Publisher name

    Springer International Publishing

  • Place of publication

    Berlin

  • Event location

    San Jose Los Cabos, Mexico

  • Event date

    Oct 29, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article