Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-69429-8_15
Title: Metadata management, reuse, inference and propagation in a collection-oriented metadata framework for digital images
Authors: Ku, W. 
Kankanhalli, M.S. 
Lim, J.-H.
Keywords: Collection-oriented framework
Group effect
Image metadata management
Inference
Propagation
Reuse
Social networking effect
Issue Date: 2007
Source: Ku, W.,Kankanhalli, M.S.,Lim, J.-H. (2007). Metadata management, reuse, inference and propagation in a collection-oriented metadata framework for digital images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4352 LNCS (PART 2) : 145-154. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-69429-8_15
Abstract: Digital photography generates a lot more "shoeboxes" of photos than its conventional counterpart, resulting in image search and retrieval being more applicable. We briefly discuss some research challenges faced with the use of metadata in image search and retrieval. We then propose the structural use of metadata regularity of photos within collections (the Group Effect), in metadata management, reuse, inference and propagation. This application of the Group Effect is complemented by the Social Networking Effect whereby user interactions with image collections provide collaborative metadata. This is followed by our presentation of a set-theoretic approach to our framework (proposed in previous work [5, 6]) and we then outline its application and utility. © Springer-Verlag Berlin Heidelberg 2007.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/78225
ISBN: 9783540694281
ISSN: 03029743
DOI: 10.1007/978-3-540-69429-8_15
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