Résumé
Over the last 15 years, several applications have been developed for digital cultural heritage in the image processing and particularly in the area of digital painting. In order to help preserve cultural heritage, this chapter proposes several applications for digital paintings such as restoration, authentication, style analysis and visualization. For the visualization of digital paintings we present specific methods to visualize digital paintings based on visual saliency and in particular we propose an automatic digital painting visualization method based on visual saliency. The proposed system consists of extracting regions of interest (ROI) from a digital painting to characterize them. These close-ups are then animated on the basis of the paintings characteristics and the artist's or designer's aim. In order to obtain interesting results from short video clips, we developed a visual saliency mapbased method. The experimental results show the efficiency of our approach and an evaluation based on a Mean Opinion Score validates our proposed method.