STAG: Semantic Image Annotation Using Relationships between Tags

Author

Dong-Hyuk Im ; Geun-Duk Park

Author_Institution

Dept. of Comput. Eng., Hoseo Univ., Asan, South Korea

fYear

2013

fDate

24-26 June 2013

Firstpage

1

Lastpage

2

Abstract

The state-of-art image tagging system has a limitation in that it allows users to annotate image tags in noun form that cannot fully express the semantics of image. In this paper, we propose a STAG, semi-automatic annotation system for image using semantic relationships between social tags. By connecting the image tags using predicate word, we can capture the contexts in which image tags are used. Compared with ontology-based annotation system, this reduces a large amount of manual jobs and enhances the expression of image content. In addition, we are able to use SPARQL-like query for image retrieval.

Keywords

image enhancement; image retrieval; word processing; SPARQL-like query; STAG; context capturing; image content expression enhancement; image retrieval; image tagging system; manual job reduction; predicate word; semantic image tag annotation; semantic relationships; semiautomatic annotation system; social tags; Context; Image retrieval; Joining processes; Manuals; Ontologies; Semantics; Tagging;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Applications (ICISA), 2013 International Conference on

Conference_Location

Suwon

Print_ISBN

978-1-4799-0602-4

Type

conf

DOI

10.1109/ICISA.2013.6579483

Filename

6579483