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Proceedings Paper

Knowledge discovery for better photographs
Author(s): Jonathan Yen; Peng Wu; Daniel Tretter
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Paper Abstract

A photograph captured by a digital camera usually includes camera metadata in which sensor readings, camera settings and other capture pipeline information are recorded. The camera metadata, typically stored in an EXIF header, contains a rich set of information reflecting the conditions under which the photograph was captured. This set of rich information can be potentially useful for improvement in digital photography but its multi-dimensionality and heterogeneous data structure make it difficult to be useful. Knowledge discovery, on the other hand, is usually associated with data mining to extract potentially useful information from complex data sets. In this paper we use a knowledge discovery framework based on data mining to automatically associate combinations of high-dimensional, heterogeneous metadata with scene types. In this way, we can perform very simple and efficient scene classification for certain types of photographs. We have also provided an interactive user interface in which a user can type in a query on metadata and the system will retrieve from our image database the images that satisfy the query and display them. We have used this approach to associate EXIF metadata with specific scene types like back-lit scenes, night scenes and snow scenes. To improve the classification results, we have combined an initial classification based only on the metadata with a simple, histogram based analysis for quick verification of the discovered knowledge. The classification results, in turn, can be used to better manage, assess, or enhance the photographs.

Paper Details

Date Published: 29 January 2007
PDF: 11 pages
Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060B (29 January 2007); doi: 10.1117/12.702891
Show Author Affiliations
Jonathan Yen, Toshiba America (United States)
Peng Wu, Hewlett Packard Labs. (United States)
Daniel Tretter, Hewlett Packard Labs. (United States)


Published in SPIE Proceedings Vol. 6506:
Multimedia Content Access: Algorithms and Systems
Alan Hanjalic; Raimondo Schettini; Nicu Sebe, Editor(s)

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