BOTOREK, Jan, Petra BUDÍKOVÁ and Pavel ZEZULA. Visual Concept Ontology for Image Annotations. 4 pp. 2014.
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Basic information
Original name Visual Concept Ontology for Image Annotations
Authors BOTOREK, Jan, Petra BUDÍKOVÁ and Pavel ZEZULA.
Edition 4 pp. 2014.
Other information
Original language English
Type of outcome Special-purpose publication
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Faculty of Informatics
Keywords in English visual concept ontology, WordNet, image annotation
Tags DISA
Tags International impact
Changed by Changed by: RNDr. Petra Budíková, Ph.D., učo 66445. Changed: 19/12/2014 10:15.
Abstract
In spite of the development of content-based data management, text-based searching remains the primary means of multimedia retrieval in many areas. Automatic creation of text metadata is thus a crucial tool for increasing the findability of multimedia objects. Search-based annotation tools try to provide content-descriptive keywords by exploiting web data, which are easily available but unstructured and noisy. Such data need to be analyzed with the help of semantic resources that provide knowledge about objects and relationships in a given domain. In this paper, we focus on the task of general-purpose image annotation and present the VCO, a new ontology of visual concepts developed as a part of image annotation framework. The ontology is linked with the WordNet lexical database, so the annotation tools can easily integrate information from both these resources.
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