Automatic generation of video from digital paintings for cultural heritage

Pol Kennel 1 Frédéric Comby 1 William Puech 1
1 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In order to preserve cultural heritage, this paper proposes to develop a digital paintings visualization system. Our proposed system mainly consists of automatically extracting regions of interest (ROI) from a digital painting to characterize them. These close-ups are then animated on the basis of the painting characteristics and the artist’s or designer’s aim. In order to obtain interesting results from short video clips, we developed a visual saliency map-based method. The experimental results show the efficiency of our approach and an evaluation based on a Mean Opinion Score validates the proposed method.
Type de document :
Communication dans un congrès
IPTA: Image Processing Theory, Tools and Applications, Nov 2015, Orléans, France. pp.218-223, 2015, 〈10.1109/IPTA.2015.7367132〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01284413
Contributeur : Frédéric Comby <>
Soumis le : lundi 7 mars 2016 - 15:29:09
Dernière modification le : jeudi 11 janvier 2018 - 06:26:18

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Pol Kennel, Frédéric Comby, William Puech. Automatic generation of video from digital paintings for cultural heritage. IPTA: Image Processing Theory, Tools and Applications, Nov 2015, Orléans, France. pp.218-223, 2015, 〈10.1109/IPTA.2015.7367132〉. 〈lirmm-01284413〉

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