BUDÍKOVÁ, Petra, Jan BOTOREK, Michal BATKO and Pavel ZEZULA. DISA at ImageCLEF 2014: The search-based solution for scalable image annotation. Online. In CLEF 2014 Evaluation Labs and Workshop, Online Working Notes. Aachen: RWTH Aachen University, 2014, p. 1-12. ISSN 1613-0073.
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Basic 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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/14:00073916
Organization unit Faculty of Informatics
ISSN 1613-0073
Keywords in English Image annotation; similarity search; scalability; evaluation
Tags DISA
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/4/2015 11:46.
Abstract
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 projectName: Centrum pro multi-modální interpretaci dat velkého rozsahu
Investor: Czech Science Foundation
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