Please use this identifier to cite or link to this item:
|Title:||Metadata management, reuse, inference and propagation in a collection-oriented metadata framework for digital images|
|Authors:||Ku, W. |
Image metadata management
Social networking effect
|Citation:||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)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 15, 2018
checked on Oct 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.