D 2010

Improving the Image Retrieval System by Ranking

BUDÍKOVÁ, Petra, Michal BATKO and Pavel ZEZULA

Basic information

Original name

Improving the Image Retrieval System by Ranking

Name in Czech

Systém pro vyhledávání v obrázcích s vylepšeným uspořádáním výsledků

Authors

BUDÍKOVÁ, Petra (203 Czech Republic, guarantor, belonging to the institution), Michal BATKO (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)

Edition

New York, 3rd International Conference on Similarity Search and Applications (SISAP 2010), p. 123-124, 2 pp. 2010

Publisher

ACM Press

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Turkey

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/10:00044842

Organization unit

Faculty of Informatics

ISBN

978-1-4503-0420-7

Keywords in English

image retrieval system; ranking; relevance-feedback

Tags

Tags

International impact, Reviewed
Změněno: 10/3/2016 11:27, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

This demonstration paper presents an image retrieval system that allows to bridge the semantic gap by combining visual and text ranking on a large collection of 8 million images. We present several ranking methods including user relevance feedback. The demonstration is available as online web application.

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
GP201/08/P507, research and development project
Name: Komplexní podobnostní dotazy nad rozsáhlými objemy dat
Investor: Czech Science Foundation, Complex similarity searching in very large data collections