STAG: Semantic Image Annotation Using Relationships between Tags

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.