Evaluation Platform for Content-based Image Retrieval Systems

D 2011

Evaluation Platform for Content-based Image Retrieval Systems

BUDÍKOVÁ, Petra, Michal BATKO a Pavel ZEZULA

Základní údaje

Originální název

Evaluation Platform for Content-based Image Retrieval Systems

Název česky

Evaluační platforma pro obrazové vyhledávací systémy založené na obsahu

Autoři

BUDÍKOVÁ, Petra (203 Česká republika, garant, domácí), Michal BATKO (203 Česká republika, domácí) a Pavel ZEZULA (203 Česká republika, domácí)

Vydání

Berlin, International Conference on Theory and Practice of Digital Libraries 2011, LNCS 6966, od s. 130-142, 12 s. 2011

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14330/11:00049925

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-24468-1

UT WoS

000306258000015

Klíčová slova anglicky

large-scale image dataset; visual and textual annotation; ground truth; collaboration service

Štítky

DISA

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 9. 4. 2014 12:52, RNDr. Michal Batko, Ph.D.

Anotace

V originále

In all subelds of information retrieval, test datasets and ground truth data are important tools for testing and comparison of new search methods. This is also reflected by the image retrieval community where several benchmarking activities have been created in past years using different test data. However, the number of available test collections is still rather small and the existing ones are often limited in size or accessible only to the participants of benchmarking competitions. In this work, we present a new freely-available large-scale dataset for evaluation of content-based image retrieval systems. The dataset consists of 20 million high-quality images with ve visual descriptors and rich and systematic textual annotations, a set of 100 test query objects and a semi-automatically collected ground truth data veried by users. Furthermore, we provide services that enable exploitation and collaborative expansion of the ground truth.

Návaznosti

GAP103/10/0886, projekt VaV

Název: Vizuální vyhledávání obrázků na Webu (Akronym: VisualWeb)

Investor: Grantová agentura ČR, Vizuální vyhledávání obrázků na Webu

VF20102014004, projekt VaV

Název: Multimediální analýza (Akronym: Multimediální analýza)

Investor: Ministerstvo vnitra ČR, Multimediální analýza

Citovat

BUDÍKOVÁ, Petra, Michal BATKO a Pavel ZEZULA. Evaluation Platform for Content-based Image Retrieval Systems. In International Conference on Theory and Practice of Digital Libraries 2011, LNCS 6966. Berlin: Springer, 2011, s. 130-142, 12 s. ISBN 978-3-642-24468-1.

@inproceedings{948299,
   author = {Budíková, Petra and Batko, Michal and Zezula, Pavel},
   address = {Berlin},
   booktitle = {International Conference on Theory and Practice of Digital Libraries 2011, LNCS 6966},
   keywords = {large-scale image dataset; visual and textual annotation; ground truth; collaboration service},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Berlin},
   isbn = {978-3-642-24468-1},
   pages = {130-142},
   publisher = {Springer},
   title = {Evaluation Platform for Content-based Image Retrieval Systems},
   year = {2011}
}

TY  - JOUR
ID  - 948299
AU  - Budíková, Petra - Batko, Michal - Zezula, Pavel
PY  - 2011
TI  - Evaluation Platform for Content-based Image Retrieval Systems
PB  - Springer
CY  - Berlin
SN  - 9783642244681
KW  - large-scale image dataset
KW  - visual and textual annotation
KW  - ground truth
KW  - collaboration service
N2  - In all subelds of information retrieval, test datasets and ground truth data are important tools for testing and comparison of new search methods. This is also reflected by the image retrieval community where several benchmarking activities have been created in past years using different test data. However, the number of available test collections is still rather small and the existing ones are often limited in size or accessible only to the participants of benchmarking competitions. In this work, we present a new freely-available large-scale dataset for evaluation of content-based image retrieval systems. The dataset consists of 20 million high-quality images with ve visual descriptors and rich and systematic textual annotations, a set of 100 test query objects and a semi-automatically collected ground truth data veried by users. Furthermore, we provide services that enable exploitation and collaborative expansion of the ground truth.
ER  -

BUDÍKOVÁ, Petra, Michal BATKO a Pavel ZEZULA. Evaluation Platform for Content-based Image Retrieval Systems. In \textit{International Conference on Theory and Practice of Digital Libraries 2011, LNCS 6966}. Berlin: Springer, 2011, s.~130-142, 12 s. ISBN~978-3-642-24468-1.

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