Visualization framework of digital paintings based on visual saliency for cultural heritage

Pol Kennel 1 William Puech 1 Frédéric Comby 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 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 by using the well-known Itti’s saliency analysis which already proved its efficiency on paintings. The experimental results show the efficiency of our approach and an evaluation based on a Mean Opinion Score validates the proposed method. Eighteen volunters watched for a total of 216 views at 72 video clips build up from 6 paintings, and we found a significant difference between our saliency-based generated videos and random-based generated videos.
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Journal articles
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01349207
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Submitted on : Wednesday, July 27, 2016 - 7:21:27 AM
Last modification on : Thursday, October 25, 2018 - 2:46:02 PM

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Pol Kennel, William Puech, Frédéric Comby. Visualization framework of digital paintings based on visual saliency for cultural heritage. Multimedia Tools and Applications, Springer Verlag, 2017, 76 (1), pp.561-575. ⟨10.1007/s11042-015-3013-7⟩. ⟨lirmm-01349207⟩

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