D 2011

MUFIN at ImageCLEF 2011: Success or Failure?

BUDÍKOVÁ, Petra, Michal BATKO and Pavel ZEZULA

Basic information

Original name

MUFIN at ImageCLEF 2011: Success or Failure?

Name in Czech

MUFIN na soutěži ImageCLEF 2011: Úspěch nebo selhání?

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

Amsterdam, CLEF 2011 Labs and Workshop, Notebook Papers; CEUR Workshop Proceedings Vol. 1177, p. 1-12, 12 pp. 2011

Publisher

CLEF

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14330/11:00050011

Organization unit

Faculty of Informatics

ISSN

Keywords in English

image annotation; content-based image retrieval; ImageCLEF Photo Annotation Task;

Tags

Tags

International impact, Reviewed
Změněno: 5/5/2016 16:02, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

In all fields of research it is important to discuss and compare various methods that are being proposed to solve given problems. In image retrieval, the ImageCLEF competitions provide such comparison platform. We have participated in the Photo Annotation Task of the ImageCLEF 2011 competition with a system based on the MUFIN Annotation Tool. Our approach is, in contrast to typical classifier solutions, based on a general annotation system for web images that provides general keywords for arbitrary image. However, the free-text annotation needs to be transformed into the 99 concepts given by the competition task. The transformation process is described in detail in the first part of this paper. In the second part, we discuss the results achieved by our solution. Even though the free-text annotation approach was not as successful as the classifier-based approaches, the results are competitive especially for the concepts involving real-world objects. On the other hand, our approach does not require training and is scalable to any number of concepts.

Links

GAP103/10/0886, research and development project
Name: Vizuální vyhledávání obrázků na Webu (Acronym: VisualWeb)
Investor: Czech Science Foundation, Content-based Image Retrieval on the Web Scale
VF20102014004, research and development project
Name: Multimediální analýza (Acronym: Multimediální analýza)
Investor: Ministry of the Interior of the CR