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.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01284413
Contributor : Frédéric Comby <>
Submitted on : Monday, March 7, 2016 - 3:29:09 PM
Last modification on : Monday, July 8, 2019 - 1:39:52 PM

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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, ⟨10.1109/IPTA.2015.7367132⟩. ⟨lirmm-01284413⟩

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