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Face-based People Searching in Videos

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00065975" target="_blank" >RIV/00216224:14330/13:00065975 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-36973-5_101" target="_blank" >http://dx.doi.org/10.1007/978-3-642-36973-5_101</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-36973-5_101" target="_blank" >10.1007/978-3-642-36973-5_101</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Face-based People Searching in Videos

  • Original language description

    We propose a system for retrieving people according to their faces in unannotated video streams. The system processes input videos to extract key-frames on which faces are detected. The detected faces are automatically grouped together to create clusterscontaining snapshots of the same person. The system also facilitates annotation and manual manipulations with created clusters. On the processed videos the system offers to search for persons in three distinct operations applicable to various scenarios.The system is presented online by indexing five high-quality video streams with the total length of nearly five hours.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    35th European Conference on Information Retrieval (ECIR 2013), LNCS 7814

  • ISBN

    9783642369728

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    853-856

  • Publisher name

    Springer-Verlag

  • Place of publication

    Berlin Heidelberg

  • Event location

    Moscow

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article