This paper explores the way music can be translated into a sequence of images. A general approach is described that associates various structures captured by different sense modalities. This approach is illustrated by examples from vision and audition. Music and sets of images are digitalized and represented as forms in multidimensional spaces. A mapping, which preserves the dissimilarities in each space, is then defined and an algorithm that can approximate the optimal fit is proposed. An example that maps a set of photos of different versions of the wire chair on various Mozart variations is given.
PhamN.-K.MorinA.GrosP. and LeQ.-T. (2009). Utilisation de l’analyse factorielle des correspondances pour la recherche d’images à grande échelle in: Actes d'EGC RNTI-E-15 Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances pp. 283–294Cépaduès EditionsToulouse, France.