Zoomify Image (/ projects/zoomifyimage) was created at Cornell University in collaboration with Zoomify to create an open-source, cross-platform, and scriptable version of the processing software that creates the image data displayed in a Zoomifyer client. And because Flash has 98.3 percent browser saturation, viewing "Zoomified" images is seamless for most users and allows them to view images interactively in much greater detail than would otherwise be practical or even possible. As the user pans and zooms, the response time approaches that of desktop applications while using the smallest possible bandwidth necessary to render the image. By streaming the image data in this way, the image renders as quickly as a normal, downsampled image, even for images that are gigabytes in size. A small Zoomifyer client, authored in Macromedia Flash, is embedded in an HTML page and makes asynchronous requests to the server to stream image data back to the client as needed. Zoomifyer from Zoomify (enables users to view large, high-resolution images within existing Web-browser software while providing a rich, interactive user experience. Limitations are also discussed as are areas of improvement and alternatives.
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The author, a librarian at Cornell University and the principal architect of a small, open-source company, worked closely with Zoomify to produce a cross-platform, open-source implementation of that company's image-processing software and discusses how to easily deploy the product into a widely used Web-publishing environment. A Flash-based Zoomifyer client asynchronously streams image data to the Web browser as needed, resulting in response times approaching those of desktop applications using minimal bandwidth. End users view these images with existing Web-browser software as quickly as they do normal, downsampled images. Zoomify Image is a mature product for easily publishing large, high-resolution images on the Web.
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