Inproceedings,
SAFIRE: Towards Standardized Semantic Rich Image Annotation
Adaptive Multimedia Retrieval: User, Context, and Feedback, 4th International Workshop, AMR 2006, Geneva, Switzerland, July, 27-28, 2006, Revised Selected Papers, 4398, page 139--153. Berlin / Heidelberg, Springer Verlag, (2007)
Abstract
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.
