Envisioning information
Rendering effective route maps: improving usability through generalization
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Computational Perspectives on Map Generalization
Geoinformatica
Fast and accurate computation of polyhedral mass properties
Journal of Graphics Tools
When and Why Are Visual Landmarks Used in Giving Directions?
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Artistic Multiprojection Rendering
Proceedings of the Eurographics Workshop on Rendering Techniques 2000
Enriching Wayfinding Instructions with Local Landmarks
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
Specifying label layout style by example
Proceedings of the 20th annual ACM symposium on User interface software and technology
Metrics for functional and aesthetic label layouts
SG'05 Proceedings of the 5th international conference on Smart Graphics
Structural salience of landmarks for route directions
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
Landmark extraction: a web mining approach
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
MYGLOBE: cognitive map as communication media
SIGGRAPH '09: Posters
Kartta: extracting landmarks near personalized points-of-interest from user generated content
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Abstraction of man-made shapes
ACM SIGGRAPH Asia 2009 papers
Kartta: using multimedia and context to navigate unfamiliar environments
Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era
Visual summaries of popular landmarks from community photo collections
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Myglobe: a navigation service based on cognitive maps
Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction
Visual summaries of popular landmarks from community photo collections
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Automatic generation of destination maps
ACM SIGGRAPH Asia 2010 papers
Testing landmark identification theories in virtual environments
SC'10 Proceedings of the 7th international conference on Spatial cognition
Periodic multi-labeling of public transit lines
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Design principles for visual communication
Communications of the ACM
I3D '11 Symposium on Interactive 3D Graphics and Games
Modified map search engine: geographical features extraction for ranking of modified maps
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Conjoining Gestalt rules for abstraction of architectural drawings
Proceedings of the 2011 SIGGRAPH Asia Conference
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality
Co-abstraction of shape collections
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Qualitative constraint satisfaction problems: An extended framework with landmarks
Artificial Intelligence
Hierarchical route maps for efficient navigation
Proceedings of the 19th international conference on Intelligent User Interfaces
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Tourist maps are essential resources for visitors to an unfamiliar city because they visually highlight landmarks and other points of interest. Yet, hand-designed maps are static representations that cannot adapt to the needs and tastes of the individual tourist. In this paper we present an automated system for designing tourist maps that selects and highlights the information that is most important to tourists. Our system determines the salience of map elements using bottom-up vision-based image analysis and top-down web-based information extraction techniques. It then generates a map that emphasizes the most important elements, using a combination of multiperspective rendering to increase visibility of streets and landmarks, and cartographic generalization techniques such as simplification, deformation, and displacement to emphasize landmarks and de-emphasize less important buildings. We show a number of automatically generated tourist maps of San Francisco and compare them to existing automated and manual approaches.