Semantic hierarchies for image annotation: A survey

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Regimvid at ImageCLEF 2015 Scalable Concept Image Annotation Task: Ontology based Hierarchical Image Annotation

In this paper, we describe our participation in the ImageCLEF 2015 Scalable Concept Image Annotation task. In this participation, we display our approach for an automatic image annotation by the use of an ontology-based semantic hierarchy handled at both learning and annotation steps. While recent works focused on the use of semantic hierarchies to improve concept detector accuracy, we are inve...

Building and Using Knowledge Models for Semantic Image Annotation

This dissertation aims at building and using knowledge-driven models in order to improve the accuracy of automatic image annotation. Currently, many image annotation approaches are based on the automatic association between low-level or mid-level visual features and semantic concepts using machine learning techniques. Nevertheless, the only use of machine learning seems to be insufficient to br...

Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images

This paper proposes a new methodology to automatically build semantic hierarchies suitable for image annotation and classification. The building of the hierarchy is based on a new measure of semantic similarity. The proposed measure incorporates several sources of information : visual, conceptual and contextual as we defined in this paper. The aim is to provide a measure that best represents im...

Image Annotation and Retrieval- An Overview

Structured knowledge models, such as semantic hierarchies and ontologies, appear to be a way to improve the accuracy of automatic image annotation. It allows modeling many valuable semantic relations between concepts based on image annotation using contextual and spatial relationships. Indeed, these relationships have been proved to be of prime importance for the understanding of image semantic...