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Towards A Collaborative Framework for Image Annotation and Search

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conference contribution
posted on 13.09.2011, 14:38 by Yi Hong, Stephan Reiff-Marganiec
Users tag images with plain text information, which is then used as the basis for search. For the large amount of digital images available on the web this becomes challenging because the tags are abstract concepts whose relationship is undefined. For effective search which requires reasoning on concepts and their relations one requires richer data structures for tagging and one needs to take into account the confidence and credibility of the tagging user. In this paper, we introduce a novel collaborative framework for image annotation, which allows users to create tags that are based on a concept repository which provides a hierarchical context for them as well as allowing to define relationships among said concepts. It also provides a new and systematic way to establish user credibility as well as to compute the truthfulness or reliability of a particular statement, which are used for ranking search results. A prototype has been implemented using this approach and we will show some examples to explain our methodology in detail.

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Citation

Hong, Y. and Reiff-Marganiec, S. ‘Towards A Collaborative Framework for Image Annotation and Search’ in Salinesi, C. and Pastor, O. (Eds) CAiSE 2011 Workshops, Lecture Notes in Business Information Processing, 2011, 83 (9), pp. 564-574

Version

AM (Accepted Manuscript)

Published in

Hong

Publisher

Springer Verlag

issn

1865-1348

eissn

1865-1356

isbn

978-3-642-22055-5

Copyright date

2011

Available date

13/09/2011

Publisher version

http://www.springerlink.com/content/rl70q86262hpp485/

Notes

This paper was presented at CAiSE 2011 International Workshops, London, UK, June 20-24, 2011 and published in the proceedings.

Language

en

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