Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IPTA.2015.7367132 | 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA) |
Keywords | Field | DocType |
Saliency map,digital painting,cultural heritage,visualization system,region of interest | Computer vision,Cultural heritage,Visualization,Computer science,Painting,Mean opinion score,Feature extraction,Artificial intelligence,Animation,Region of interest,Digital painting | Conference |
ISSN | ISBN | Citations |
2154-512X | 978-1-4799-8636-1 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pol Kennel | 1 | 1 | 0.71 |
| Frederic Comby | 2 | 73 | 11.55 |
| William Puech | 3 | 535 | 76.74 |