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Overell, Simon; Llorente, Ainhoa; Liu, Haiming; Hu, Rui; Rae, Adam; Zhu, Jianhan; Song, Dawei and Rüger, Stefan
(2008).
URL: http://www.academia.edu/634939/MMIS_at_ImageCLEF_2...
Abstract
This paper presents the work of the MMIS group at ImageCLEF 2008. The results for three tasks are presented: Visual Concept Detection Task (VCDT), ImageCLEFphoto and ImageCLEFwiki. We combine image annotations, CBIR, textual relevanceand a geographic filter using our generic data fusion method. We also compare methodsfor BRF and clustering.Our top performing method in the VCDT enhances supervised learning by modifying probabilities based on a matrix that shows how terms appear together. Although it occurred in the top quartile of submitted runs, the enhancement did not provide a statistically significant improvement. In the ImageCLEFphoto task we demonstrate that evidence from image retrievalcan provide a contribution to retrieval; however we are yet to find a way of combining text and image evidence in a way to provide an improvement over the baseline. Due to the relative performances of difference evidences in ImageCLEFwiki and our failure to improve over a baseline we conclude that text is the dominant feature in this collection.
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About
- Item ORO ID
- 36073
- Item Type
- Conference or Workshop Item
- Keywords
- content based image retrieval; geographic retrieval; data fusion
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2008 Not known
- Depositing User
- Danielle Lilly