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Erschienen in:
Modernising Official Statistics: A Complex Challenge Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

A Statistical Software Package for Image Data Analysis in Marketing

verfasst von : Thomas Böttcher, Daniel Baier, Robert Naundorf

Erschienen in: Data Science, Learning by Latent Structures, and Knowledge Discovery

Verlag: Springer Berlin Heidelberg

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Abstract

The strongly growing number of available images reveals a great opportunity for a new age in the field of statistical analysis. Today, several thousand digital images are taken and published every day but not used for marketing purposes. Common statistical tools like SPSS, SAS, R, MATLAB, or RapidMiner still provide none or insufficient image processing packages. In this paper we introduce IMADAC, a statistical software in expansion of Naundorf et al. (Computer science reports. Institute of Computer Science, Brandenburg University of Technology, Cottbus, 2012) and Zellhöfer et al. (Proceedings of the 2nd ACM international conference on multimedia retrieval, ICMR ’12, pp. 59–60, 2012). IMADAC, designed for experts as well as users without image processing background, combines statistical analysis on both, common statistical data (e.g., age or gender) and image processing methods. This paper demonstrates the usage of low level image features for statistical purposes (e.g., clustering or multi-dimensional scaling). To improve marketing analysis results, we further show how to combine image features with other statistical data and how it can be done in a graphical user interface (GUI).

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Metadaten
Titel
A Statistical Software Package for Image Data Analysis in Marketing
verfasst von
Thomas Böttcher
Daniel Baier
Robert Naundorf
Copyright-Jahr
2015
Verlag
Springer Berlin Heidelberg
Buch
Data Science, Learning by Latent Structures, and Knowledge Discovery

Print ISBN: 978-3-662-44982-0

Electronic ISBN: 978-3-662-44983-7

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-662-44983-7_19