Visual Concept Ontology for Image Annotations

BOTOREK, Jan, Petra BUDÍKOVÁ and Pavel ZEZULA. Visual Concept Ontology for Image Annotations. 2014, 4 pp.

Basic information

Original name

Visual Concept Ontology for Image Annotations

Authors

BOTOREK, Jan, Petra BUDÍKOVÁ and Pavel ZEZULA

Edition

4 pp. 2014

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Other information

Language

English

Type of outcome

Účelové publikace

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Organization unit

Faculty of Informatics

Keywords in English

visual concept ontology, WordNet, image annotation

Tags

DISA

Tags

International impact

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Abstract

V originále

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.