SAFIRE: Towards Standardized Semantic Rich Image Annotation [chapter]

Christian Hentschel, Andreas Nürnberger, Ingo Schmitt, Sebastian Stober
Lecture Notes in Computer Science  
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
more » ... 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.
doi:10.1007/978-3-540-71545-0_2 dblp:conf/amr/HentschelNSS06 fatcat:tk2ksbvjsbcoffbakfpbnozubi