Authors:
Sandra Skaff
1
;
David Rouquet
2
;
Emmanuel Dellandrea
3
;
Achille Falaise
2
;
Valérie Bellynck
2
;
Hervé Blanchon
2
;
Christian Boitet
2
;
Didier Schwab
2
;
Liming Chen
3
;
Alexandre Saidi
3
;
Gabriela Csurka
1
and
Luca Marchesotti
1
Affiliations:
1
Xerox Research Centre Europe, France
;
2
Laboratoire d’Informatique de Grenoble, France
;
3
Ecole Centrale de Lyon, France
Keyword(s):
Interface, Visualization.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
Databases and Visualization, Visual Data Mining
;
Interface and Interaction Techniques for Visualization
;
Spatial Data Visualization
;
Visual Representation and Interaction
Abstract:
This paper describes OMNIA, a system and interface for searching in multimodal image collections. OMNIA includes a set of tools which allow the user to retrieve assets using different features. The tools are based on extracting different types of asset features, which are content, aesthetic, and emotion. Visual-based features are used to retrieve assets using each of these tools. In addition, text-based features can be used to retrieve image assets based on content. Different datasets are used in OMNIA and retrieved assets are displayed in such a way which facilitates user navigation. It is shown how OMNIA can be used for simple, efficient, and intuitive asset search in the context of graphic design applications.