Visually Supporting Image Annotation based on Visual Features and Ontologies

Filali, Jalila; Zghal, Hajer; Martinet, Jean

Document type :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes

Title :

Visually Supporting Image Annotation based on Visual Features and Ontologies

Author(s) :

Filali, Jalila [Auteur]
École Nationale des Sciences de l'Informatique [Manouba] [ENSI]
Zghal, Hajer [Auteur]
École Nationale des Sciences de l'Informatique [Manouba] [ENSI]
Martinet, Jean [Auteur]
FOX MIIRE [LIFL]

Conference title :

21st International Conference Information Visualisation

City :

London

Country :

Royaume-Uni

Start date of the conference :

2017-07-11

English keyword(s) :

Visualisation
image annotation
visual features
ontologies

HAL domain(s) :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

English abstract : [en]

Automatic Image Annotation (AIA) is a challenging problem in the field of image retrieval, and several methods have been proposed. However, visually supporting this important tasks and reducing the semantic gap between ...
Show more >Automatic Image Annotation (AIA) is a challenging problem in the field of image retrieval, and several methods have been proposed. However, visually supporting this important tasks and reducing the semantic gap between low-level image features and high-level semantic concepts still remains a key issue. In this paper, we propose a visually supporting image annotation framework based on visual features and ontologies. Our framework relies on three main components: (i) extraction and classification of features component, (ii) ontology's building component and (iii) image annotation component. Our goal consists on improving the visual image annotation by:(1) extracting invariant and complex visual features; (2) integrating feature classification results and semantic concepts to build ontology and (3) combining both visual and semantic similarities during the image annotation process.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :