Title
GravNav: using a gravity model for multi-scale navigation
Abstract
We present gravity navigation (GravNav), a family of multi-scale navigation techniques that use a gravity-inspired model for assisting navigation in large visual 2D spaces based on the interest and salience of visual objects in the space. GravNav is an instance of topology-aware navigation, which makes use of the structure of the visual space to aid navigation. We have performed a controlled study comparing GravNav to standard zoom and pan navigation, with and without variable-rate zoom control. Our results show a significant improvement for GravNav over standard navigation, particularly when coupled with variable-rate zoom. We also report findings on user behavior in multi-scale navigation.
Year
DOI
Venue
2012
10.1145/2254556.2254597
AVI
Keywords
Field
DocType
visual space,multi-scale navigation,standard zoom,topology-aware navigation,visual object,variable-rate zoom control,variable-rate zoom,gravity model,multi-scale navigation technique,present gravity navigation,standard navigation,variable rate,scale space,panning,zooming
Visual Objects,Computer vision,Visual space,Panning (camera),Computer science,Zoom,Human–computer interaction,Artificial intelligence,Gravity model of trade,Mobile robot navigation,Salience (language),Multimedia
Conference
Citations 
PageRank 
References 
9
0.45
22
Authors
3
Name
Order
Citations
PageRank
Waqas Javed133411.68
Sohaib Ghani2884.12
Niklas Elmqvist3206598.35