Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/9685
Title: Towards A Collaborative Framework for Image Annotation and Search
Authors: Hong, Yi
Reiff-Marganiec, Stephan
First Published: 2011
Publisher: Springer Verlag
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
Abstract: 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.
DOI Link: 10.1007/978-3-642-22056-2_58
ISSN: 1865-1348
ISBN: 978-3-642-22055-5
eISSN: 1865-1356
Links: http://www.springerlink.com/content/rl70q86262hpp485/
http://hdl.handle.net/2381/9685
Version: Post-print
Status: Peer-reviewed
Type: Conference paper
Rights: © Springer-Verlag Berlin Heidelberg, 2011. Deposited with reference to the publisher’s archiving policy available on the SHERPA/RoMEO website. The original publication is available at www.springerlink.com.
Description: This paper was presented at CAiSE 2011 International Workshops, London, UK, June 20-24, 2011 and published in the proceedings.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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