SIERRA – a superimposed application for enhanced image [PDF]

SIGN IN SIGN UP

SIERRA – a superimposed application for enhanced image description and retrieval Authors:

Save to Binder

Uma Murthy Department of Computer Science, Virginia Tech, Blacksburg, VA Ricardo da S. Torres Institute of Computing, State University of Campinas, Campinas, SP,

2006 Article

Brazil

Edward A. Fox

Department of Computer Science, Virginia Tech, Blacksburg, VA

Published in: · Proceeding ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries Pages 540-543

Tools and Resources

Export Formats: BibTeX EndNote ACM Ref

Publisher Site Bibliometrics · Citation Count: 2 · Downloads (cumulative): 0 · Downloads (12 Months): 0 · Downloads (6 Weeks): 0

Share:

|

Alicante, Spain — September 17 - 22, 2006 Springer-Verlag Berlin, Heidelberg ©2006 table of contents ISBN:3-540-44636-2 978-3-540-44636-1 doi> 10.1007/11863878_63

Contact Us | Switch to single page view (no tabs) Abstract

Authors

References

Cited By

Index Terms

Publication

Reviews

Comments

Table of Contents

In this demo proposal, we describe our prototype application, SIERRA, which combines text-based and content-based image retrieval and allows users to link together image content of varying document granularity with related data like annotations. To achieve this, we use the concept of superimposed information (SI), which enables users to (a) deal with information of varying granularity (sub-document to complete document), and (b) select or work with information elements at sub-document level while retaining the original context.

Powered by The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us