A semi-automated Framework for Supporting Semantic Image Annotation.
Johanna Vompras, Stefan Conrad · 2005
Abstract. Advanced semantic description of multimedia data significantly improves representing, labeling, and retrieving multimedia-based contents. In this paper we present an intelligent framework for attaching semantic annotations to image contents based on the extraction of elementary low-level features, user’s relevance feedback and the usage of ontology knowledge. This approach facilitates image annotation by proposing a set of most likely relevant content descriptors as a result of extracted image features and the prior annotation of similar images. We illustrate how the specific components of our architecture interact in order to provide a flexible annotation schema and a learning-based annotation mechanism. 1