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Image metadata estimation using independent component analysis and regression

Blighe, Michael and Le Borgne, Hervé and O'Connor, Noel E. (2006) Image metadata estimation using independent component analysis and regression. In: WIAMIS 2006 - 7th International Workshop on Image Analysis for Multimedia Interactive Services, 19-21 April 2006, Incheon, Korea.

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In this paper, we describe an approach to camera metadata estimation using regression based on Independent Component Analysis (ICA). Semantic scene classification of images using camera metadata related to capture conditions has had some success in the past. However, different makes and models of camera capture different types of metadata and this severely hampers the application of this kind of approach in real systems that consist of photos captured by many different users. We propose to address this issue by using regression to predict the missing metadata from observed data, thereby providing more complete (and hence more useful) metadata for the entire image corpus. The proposed approach uses an ICA based approach to regression.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Subjects:Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland
ID Code:416
Deposited On:04 Apr 2008 by DORAS Administrator. Last Modified 05 May 2010 14:20

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