Annotating gigapixel images

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Annotating gigapixel images

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Symposium on User Interface Software and Technology archive
Proceedings of the 21st annual ACM symposium on User interface software and technology table of contents

Monterey, CA, USA

SESSION: Interaction with time and space table of contents

Pages 33-36

Year of Publication: 2008

ISBN:978-1-59593-975-3

Authors

Qing Luan	University of Science and Technology of China, Hefei, China
Steven M. Drucker	Microsoft Live Labs Research, Redmond, WA, USA
Johannes Kopf	University of Konstanz, Konstanz, Germany
Ying-Qing Xu	Microsoft Research Asia, Beijing, China
Michael F. Cohen	Microsoft Research, Redmond, WA, USA

Sponsors

ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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