Proximity-based Order-respecting Intersection for Searching in
Image Databases

D 2011

Proximity-based Order-respecting Intersection for Searching in Image Databases

HOMOLA, Tomáš, Vlastislav DOHNAL a Pavel ZEZULA

Základní údaje

Originální název

Proximity-based Order-respecting Intersection for Searching in Image Databases

Autoři

HOMOLA, Tomáš (203 Česká republika, domácí), Vlastislav DOHNAL (203 Česká republika, garant, domácí) a Pavel ZEZULA (203 Česká republika, domácí)

Vydání

Linz, 8th International Workshop on Adaptive Multimedia Retrieval, AMR'2010, od s. 174-188, 15 s. 2011

Nakladatel

Johannes Kepler University

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Rakousko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/11:00081752

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-27168-7

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-27169-4_13

UT WoS

000306440900013

Klíčová slova anglicky

proximity based order respecting intersection; sub image search; image database; experimental trials

Štítky

DISA

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 6. 5. 2016 08:48, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

As the volume of non-textual data, such images and other multimedia data, available on Internet is increasing. The issue of identifying data items based on query containment rather than query equality is more and more important. In this paper, we propose a solution to this problem. We assume the local descriptors are extracted from data item, so the aforementioned problem reduces to finding data items of a collection that share as many as possible local descriptors with the query. In particular, we defined a new e-intersection that identifies close (similar) descriptors. Local descriptors usually contain the location of the descriptors in the original data, so the proposed solution takes into account them to increase effectiveness of searching. We evaluate the e-intersection on two real-life image collections using SIFT and SURF local descriptors.

Návaznosti

GAP103/10/0886, projekt VaV

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

Investor: Grantová agentura ČR, Vizuální vyhledávání obrázků na Webu

GA201/09/0683, projekt VaV

Název: Vyhledávání v rozsáhlých multimediálních databázích

Investor: Grantová agentura ČR, Vyhledávání v rozsáhlých multimediálních databázích

MUNI/A/0922/2009, interní kód MU

Název: Aplikovaný výzkum Fakulty informatiky (Akronym: AVFI)

Investor: Masarykova univerzita, Aplikovaný výzkum Fakulty informatiky, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

HOMOLA, Tomáš, Vlastislav DOHNAL a Pavel ZEZULA. Proximity-based Order-respecting Intersection for Searching in Image Databases. In Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl and Sebastian Stober. 8th International Workshop on Adaptive Multimedia Retrieval, AMR'2010. Linz: Johannes Kepler University, 2011, s. 174-188. ISBN 978-3-642-27168-7. Dostupné z: https://dx.doi.org/10.1007/978-3-642-27169-4_13.

@inproceedings{899276,
   author = {Homola, Tomáš and Dohnal, Vlastislav and Zezula, Pavel},
   address = {Linz},
   booktitle = {8th International Workshop on Adaptive Multimedia Retrieval, AMR'2010},
   doi = {http://dx.doi.org/10.1007/978-3-642-27169-4_13},
   editor = {Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl and Sebastian Stober},
   keywords = {proximity based order respecting intersection; sub image search; image database; experimental trials},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Linz},
   isbn = {978-3-642-27168-7},
   pages = {174-188},
   publisher = {Johannes Kepler University},
   title = {Proximity-based Order-respecting Intersection for Searching in Image Databases},
   year = {2011}
}

TY  - JOUR
ID  - 899276
AU  - Homola, Tomáš - Dohnal, Vlastislav - Zezula, Pavel
PY  - 2011
TI  - Proximity-based Order-respecting Intersection for Searching in Image Databases
PB  - Johannes Kepler University
CY  - Linz
SN  - 9783642271687
KW  - proximity based order respecting intersection
KW  - sub image search
KW  - image database
KW  - experimental trials
N2  - As the volume of non-textual data, such images and other multimedia data, available on Internet is increasing. The issue of identifying data items based on query containment rather than query equality is more and more important. In this paper, we propose a solution to this problem. We assume the local descriptors are extracted from data item, so the aforementioned problem reduces to finding data items of a collection that share as many as possible local descriptors with the query. In particular, we defined a new e-intersection that identifies close (similar) descriptors. Local descriptors usually contain the location of the descriptors in the original data, so the proposed solution takes into account them to increase effectiveness of searching. We evaluate the e-intersection on two real-life image collections using SIFT and SURF local descriptors.
ER  -

HOMOLA, Tomáš, Vlastislav DOHNAL a Pavel ZEZULA. Proximity-based Order-respecting Intersection for Searching in Image Databases. In Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl and Sebastian Stober. \textit{8th International Workshop on Adaptive Multimedia Retrieval, AMR'2010}. Linz: Johannes Kepler University, 2011, s.~174-188. ISBN~978-3-642-27168-7. Dostupné z: https://dx.doi.org/10.1007/978-3-642-27169-4\_{}13.

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