Detailed Information on Publication Record
2014
DISA at ImageCLEF 2014: The search-based solution for scalable image annotation
BUDÍKOVÁ, Petra, Jan BOTOREK, Michal BATKO and Pavel ZEZULABasic information
Original name
DISA at ImageCLEF 2014: The search-based solution for scalable image annotation
Authors
BUDÍKOVÁ, Petra (203 Czech Republic, guarantor, belonging to the institution), Jan BOTOREK (203 Czech Republic, belonging to the institution), Michal BATKO (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)
Edition
Aachen, CLEF 2014 Evaluation Labs and Workshop, Online Working Notes, p. 1-12, 12 pp. 2014
Publisher
RWTH Aachen University
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/00216224:14330/14:00073916
Organization unit
Faculty of Informatics
ISSN
Keywords in English
Image annotation; similarity search; scalability; evaluation
Tags
Tags
International impact, Reviewed
Změněno: 27/4/2015 11:46, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
This paper presents an annotation tool developed by the DISA Laboratory for the ImageCLEF 2014 Scalable Concept Image Annotation challenge. Our solution exploits the search-based annotation paradigm and utilizes several sources of semantic information to determine the relevance of candidate concepts. Rather than relying on the quality of training data, our approach profits from the large quantities of information available in large image collections and semantic knowledge bases. The results achieved by our system confirm that this approach is very promising for scalable image annotation.
Links
| GBP103/12/G084, research and development project |
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