SAFIRE: Towards Standardized Semantic Rich Image Annotation

Most of the currently existing image retrieval systems make use of either low-level features or semantic (textual) annotations. A combined usage during annotation and retrieval is rarely attempted. In this paper, we propose a standardized annotation framework that integrates semantic and feature based information about the content of images. The presented approach is based on the MPEG-7 standard with some minor extensions. The proposed annotation system SAFIRE (Semantic Annotation Framework for Image REtrieval) enables the combined use of low-level features and annotations that can be assigned to arbitrary hierarchically organized image segments. Besides the framework itself, we discuss query formalisms required for this unified retrieval approach.

• Type: Conference
• Year: 2006
• Where: AMR
• Authors: Christian Hentschel, Andreas Nürnberger, Ingo Schmitt, Sebastian Stober
• Keywords: AMR 2006, Annotation Framework, Annotations, Image Retrieval, Multimedia