Annotating Mont'e Prama Sculptures

Assisted and automatic navigation in an annotated model

In 2D/2.5D Data exploration, this work exploits and extends the concept of data annotations to provide guidance in discovering interesting areas while navigating with the lens suggesting annotations and displaying them without introducing clutter.

Challenge 🫥

Exploration using lenses requires users; to continuously switch between complex-gesture-combinations; for selecting areas of interest by moving the camera and controlling, scaling and positioning lenses to perform inspection. Maintaining an effective focus-and-context visualization is difficult. Switching user-interface and mental modes increases cognitive load. 

Solution 🎯

With our approach, we support a self-paced exploration of annotated models, directing users towards interesting areas and displaying annotations one at a time without introducing clutter or confusion.

Interesting Annotations were designed by referring to existing literature and domain experts 

Results and Publication

Moonisa Ahsan, Fabio Marton, Ruggero Pintus, and Enrico Gobbetti. Audio-visual Annotation Graphs for Guiding Lens-based Scene Exploration. Computers & Graphics, 2022.

DOI: 10.1016/j.cag.2022.05.003 [PDF]  

Moonisa Ahsan, Fabio Marton, Ruggero Pintus, and Enrico Gobbetti. Guiding Lens-based Exploration using Annotation Graphs. In Proc. Smart Tools and Applications in Graphics (STAG). Pages 85-90, October 2021.

DOI: 10.2312/stag.20211477 [PDF]  
⭐️Best Paper (Honorable Mention) 


The authors thank CRBC Sassari and SABAPCA Cagliari for the access to the artworks for the purpose of digitization and for annotation information. We also acknowledge the contribution of Raffaella Chierici for content creation. The project received funding from the European Union’s H2020 research and innovation programme under grant agreement 813170 (EVOCATION), and from Sardinian Regional Authorities under project VDIC (POR FESR 2014-2020).