Annotating gigapixel images

Authors:
Qing Luan;Steven M. Drucker;Johannes Kopf;Ying-Qing Xu;Michael F. Cohen
Affiliations:
University of Science and Technology of China, Hefei, China;Microsoft Live Labs Research, Redmond, WA, USA;University of Konstanz, Konstanz, Germany;Microsoft Research Asia, Beijing, China;Microsoft Research, Redmond, WA, USA
Venue:
Proceedings of the 21st annual ACM symposium on User interface software and technology
Year:
2008

Citing 8
Cited 3

Pad++: a zoomable graphical interface system

CHI '95 Conference Companion on Human Factors in Computing Systems
View management for virtual and augmented reality

Proceedings of the 14th annual ACM symposium on User interface software and technology
Evaluating Label Placement for Augmented Reality View Management

ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Constant information density in zoomable interfaces

AVI '98 Proceedings of the working conference on Advanced visual interfaces
Dynamic Labeling Management in Virtual and Augmented Environments

CAD-CG '05 Proceedings of the Ninth International Conference on Computer Aided Design and Computer Graphics
Dynamic Map Labeling

IEEE Transactions on Visualization and Computer Graphics
Orthographic and perspective projection influences linear vection in large screen virtual environments

Proceedings of the 4th symposium on Applied perception in graphics and visualization
Capturing and viewing gigapixel images

ACM SIGGRAPH 2007 papers

Annotating and navigating tourist videos

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Annotating traditional Chinese paintings for immersive virtual exhibition

Journal on Computing and Cultural Heritage (JOCCH)
Video enhanced gigapixel panoramas

SIGGRAPH Asia 2012 Technical Briefs

Quantified Score

Hi-index	0.00

Visualization

Abstract

Panning and zooming interfaces for exploring very large images containing billions of pixels (gigapixel images) have recently appeared on the internet. This paper addresses issues that arise when creating and rendering auditory and textual annotations for such images. In particular, we define a distance metric between each annotation and any view resulting from panning and zooming on the image. The distance then informs the rendering of audio annotations and text labels. We demonstrate the annotation system on a number of panoramic images.