The University of Southampton
University of Southampton Institutional Repository

Object browsing using the Internet Imaging Protocol

Object browsing using the Internet Imaging Protocol
Object browsing using the Internet Imaging Protocol
This paper builds on the results from the Viseum project where we built an image server/client system to allow browsing of very large images. In the follow-on European ACOHIR project we built systems capable of acquiring colour calibrated high resolution views of objects from many positions. A Java viewer allows the user to closely examine objects in a similar way to Quicktime VR but with much higher resolution. The Internet Imaging Protocol is used to allow the viewer to request 64x64 pel tiles on demand to allow fast browsing of the objects in a Web browser. The original image data occupy typically around 200 Mbytes yet we can provide almost instantaneous views with zooming and acceptable performance across the Internet or a modem. The approach taken in the Java viewer is modular and easily customised using JavaScript. Caching at both the server and client provide improved performance. This paper shows how the techniques developed for large images have been applied and modified to handle high resolution object views.
803-810
Martinez, K.
5f711898-20fc-410e-a007-837d8c57cb18
Perry, S.
b71ff361-93fd-415e-911e-b0bafb07d2bd
Cupitt, J.
58c1bf82-c565-46dd-807b-6c573d5d1682
Martinez, K.
5f711898-20fc-410e-a007-837d8c57cb18
Perry, S.
b71ff361-93fd-415e-911e-b0bafb07d2bd
Cupitt, J.
58c1bf82-c565-46dd-807b-6c573d5d1682

Martinez, K., Perry, S. and Cupitt, J. (2000) Object browsing using the Internet Imaging Protocol. Computer Networks, 33, 803-810.

Record type: Article

Abstract

This paper builds on the results from the Viseum project where we built an image server/client system to allow browsing of very large images. In the follow-on European ACOHIR project we built systems capable of acquiring colour calibrated high resolution views of objects from many positions. A Java viewer allows the user to closely examine objects in a similar way to Quicktime VR but with much higher resolution. The Internet Imaging Protocol is used to allow the viewer to request 64x64 pel tiles on demand to allow fast browsing of the objects in a Web browser. The original image data occupy typically around 200 Mbytes yet we can provide almost instantaneous views with zooming and acceptable performance across the Internet or a modem. The approach taken in the Java viewer is modular and easily customised using JavaScript. Caching at both the server and client provide improved performance. This paper shows how the techniques developed for large images have been applied and modified to handle high resolution object views.

Image
kmartinez.jpg - Other
Download (8kB)
Text
122.html - Other
Download (27kB)
Image
sperry.jpg - Other
Download (2kB)
Image
arnolfini.jpg - Other
Download (9kB)
Image
potcross2.jpg - Other
Download (230kB)
Image
mid.jpg - Other
Download (3kB)
Image
low.jpg - Other
Download (3kB)
Image
jcupitt.jpg - Other
Download (11kB)
Image
turntable98.jpg - Other
Download (73kB)
Image
tjptiff.gif - Other
Download (8kB)
Image
high.jpg - Other
Download (4kB)

Show all 11 downloads.

More information

Published date: May 2000
Additional Information: Proc. WWW9
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 252876
URI: http://eprints.soton.ac.uk/id/eprint/252876
PURE UUID: 0d8b372e-9820-42fd-ab96-f0f990336d7b
ORCID for K. Martinez: ORCID iD orcid.org/0000-0003-3859-5700

Catalogue record

Date deposited: 12 Jun 2000
Last modified: 15 Mar 2024 02:53

Export record

Contributors

Author: K. Martinez ORCID iD
Author: S. Perry
Author: J. Cupitt

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×