Paper
29 January 2007 Knowledge discovery for better photographs
Jonathan Yen, Peng Wu, Daniel Tretter
Author Affiliations +
Proceedings Volume 6506, Multimedia Content Access: Algorithms and Systems; 65060B (2007) https://doi.org/10.1117/12.702891
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan Yen, Peng Wu, and Daniel Tretter "Knowledge discovery for better photographs", Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060B (29 January 2007); https://doi.org/10.1117/12.702891
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CITATIONS
Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Data mining

Cameras

Computed tomography

Photography

Knowledge discovery

Databases

Scene classification

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