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Multimodal Search for Graphic Designers

Sandra Skaff, David Rouquet, Emmanuel Dellandrea, Achille Falaise, Vallerie Bellynck, Herve Blanchon, Christian Boitet, Didier Schwab, Chen Liming, Alexandre Saidi, Gabriela Csurka, Luca Marchesotti
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.
IVAPP 2011 -International Conference on Information Visualization Theory and Applications, Algarve-Portugal, 5-7 March, 2011