D 2009

Generic Similarity Search Engine Demonstrated by an Image Retrieval Application

NOVÁK, David; Michal BATKO and Pavel ZEZULA

Basic information

Original name

Generic Similarity Search Engine Demonstrated by an Image Retrieval Application

Name in Czech

Obecný podobnostní vyhledávácí systém demonstrovaný pomocí vyhledávání v obrázcích

Authors

NOVÁK, David (203 Czech Republic); Michal BATKO (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, guarantor)

Edition

New York, NY, USA, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, p. 840-841, 2009

Publisher

ACM

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

Publication form

printed version "print"

References:

RIV identification code

RIV/00216224:14330/09:00029660

Organization unit

Faculty of Informatics

ISBN

978-1-60558-483-6

UT WoS

000270976500191

Keywords in English

content-based search; metric space; scalability; similarity search

Tags

Tags

International impact, Reviewed
Changed: 17/9/2013 08:47, RNDr. David Novák, Ph.D.

Abstract

In the original language

We introduce a generic engine for large-scale similarity search and demonstrate it on a set of 100 million Flickr images.

In Czech

Představujeme generický systém pro rozsáhlé podobnostní vyhledávání a demonstrujeme jej na množině 100 milionů obrázků ze systému Flickr.

Links

GA201/09/0683, research and development project
Name: Vyhledávání v rozsáhlých multimediálních databázích
Investor: Czech Science Foundation, Similarity Searching in Very Large Multimedia Databases