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Multi-platform image search using tag enrichment

Min, Jinming, Lopes, Cristover, Leveling, Johannes orcid logoORCID: 0000-0003-0603-4191, Schmidtke, Dag and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2012) Multi-platform image search using tag enrichment. In: The 35th Annual ACM SIGIR 2012 Conference, 12-16 Aug 2012, Portland, Oregon.

The number of images available online is growing steadily and current web search engines have indexed more than 10 billion images. Approaches to image retrieval are still often text-based and operate on image annotations and captions. Image annotations (i.e. image tags) are typically short, user-generated, and of varying quality, which increases the mismatch problem between query terms and image tags. For example, a user might enter the query wedding dress while all images are annotated with bridal gown or wedding gown. This demonstration presents an image search system using reduction and expansion of image annotations to overcome vocabulary mismatch problems by enriching the sparse set of image tags.
Item Type:Conference or Workshop Item (Other)
Event Type:Conference
Uncontrolled Keywords:Image retrieval; Query formulation; Relevance feedback; Document expansion
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of the 35th Annual ACM SGIR Conference (SIGIR 2012). .
Official URL:http://www.sigir.org/sigir2012/
Copyright Information:© 2012 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:19983
Deposited On:16 Jun 2014 10:28 by Gareth Jones . Last Modified 25 Oct 2018 09:58

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