Please use this identifier to cite or link to this item:
Title: Guiding Lens-based Exploration using Annotation Graphs
Authors: Ahsan, Moonisa 
Marton, Fabio 
Pintus, Ruggero 
Gobbetti, Enrico 
Affiliations: CRS4 
Keywords: visual computing
Issue Date: Oct-2021
Publisher: the Eurographics Association
Project: Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication 
Start page: 85
End page: 90
Conference: Proc. Smart Tools and Applications in Graphics (STAG) 
We introduce a novel approach for guiding users in the exploration of annotated 2D models using interactive visualization lenses. Information on the interesting areas of the model is encoded in an annotation graph generated at authoring time. Each graph node contains an annotation, in the form of a visual markup of the area of interest, as well as the optimal lens parameters that should be used to explore the annotated area and a scalar representing the annotation importance. Graph edges are used, instead, to represent preferred ordering relations in the presentation of annotations. A scalar associated to each edge determines the strength of this prescription. At run-time, the graph is exploited to assist users in their navigation by determining the next best annotation in the database and moving the lens towards it when the user releases interactive control. The selection is based on the current view and lens parameters, the graph content and structure, and the navigation history. This approach supports the seamless blending of an automatic tour of the data with interactive lens-based exploration. The approach is tested and discussed in the context of the exploration of multi-layer relightable models.
DOI: 10.2312/stag.20211477
Appears in Collections:CRS4 publications

Files in This Item:
File Description SizeFormat
stag2021-annotation-graphs.pdf3,86 MBAdobe PDFView/Open
Show full item record

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.