Title :
Vis4Heritage: Visual Analytics Approach on Grotto Wall Painting Degradations
Author :
Jiawan Zhang ; Kai Kang ; Dajian Liu ; Ye Yuan ; Yanli, E.
Author_Institution :
Sch. of Comput. Software & Inf. Technol., Tianjin Univ., Tianjin, China
Abstract :
For preserving the grotto wall paintings and protecting these historic cultural icons from the damage and deterioration in nature environment, a visual analytics framework and a set of tools are proposed for the discovery of degradation patterns. In comparison with the traditional analysis methods that used restricted scales, our method provides users with multi-scale analytic support to study the problems on site, cave, wall and particular degradation area scales, through the application of multidimensional visualization techniques. Several case studies have been carried out using real-world wall painting data collected from a renowned World Heritage site, to verify the usability and effectiveness of the proposed method. User studies and expert reviews were also conducted through by domain experts ranging from scientists such as microenvironment researchers, archivists, geologists, chemists, to practitioners such as conservators, restorers and curators.
Keywords :
data analysis; data visualisation; history; painting; walls; Vis4Heritage; degradation area scales; degradation pattern discovery; grotto wall painting degradations; grotto wall protection; historic cultural icons; multidimensional visualization techniques; multiscale analytic; nature environment; renowned World Heritage site; visual analytics approach; visual analytics framework; Correlation; Cultural differences; Data visualization; Painting; Visual analytics; Correlation; Cultural Heritage; Cultural differences; Data visualization; Degradation; Painting; Visual Analytics; Visual analytics; Wall Paintings; Algorithms; Computer Graphics; Image Interpretation, Computer-Assisted; Materials Testing; Paint; Paintings; Reproducibility of Results; Sensitivity and Specificity; User-Computer Interface;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2013.219