User-Generated Content for Image Clustering and Marketing Purposes
Schindler D (2013)
In: Algorithms from and for Nature and Life, Classification and Data Analysis. Lausen B, Van den Poel D, Ultsch A (Eds); Studies in Classification, Data Analysis, and Knowledge Organization. Cham u.a.: Springer: 473-480.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Herausgeber*in
Lausen, B.;
Van den Poel, D.;
Ultsch, A.
Abstract / Bemerkung
The analysis of images for different purposes – particularly image clustering – has been the subject of several research streams in the past. Since the 90s query by image content and, somewhat later, content-based image retrieval have been topics of growing scientific interest. A literature review shows that research on image analysis, so far, is primarily related to computer science. However, since the advent of Flickr and other media-sharing platforms there is an ever growing data base of images which reflects individual preferences regarding activities or interests. Hence, these data are promising to observe implicit preferences and complement classical efforts for several marketing purposes (see, e.g., van House 2009 or Baier and Daniel 2011). Against this background, the present paper investigates options for clustering images on the basis of personal image preferences, e.g. to use results for marketing purposes.
Stichworte
Market Segmentation;
Image Clustering
Erscheinungsjahr
2013
Titel des Konferenzbandes
Algorithms from and for Nature and Life, Classification and Data Analysis
Serien- oder Zeitschriftentitel
Studies in Classification, Data Analysis, and Knowledge Organization
Seite(n)
473-480
ISBN
978-3-319-00035-0
Page URI
https://pub.uni-bielefeld.de/record/2495320
Zitieren
Schindler D. User-Generated Content for Image Clustering and Marketing Purposes. In: Lausen B, Van den Poel D, Ultsch A, eds. Algorithms from and for Nature and Life, Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Cham u.a.: Springer; 2013: 473-480.
Schindler, D. (2013). User-Generated Content for Image Clustering and Marketing Purposes. In B. Lausen, D. Van den Poel, & A. Ultsch (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization. Algorithms from and for Nature and Life, Classification and Data Analysis (pp. 473-480). Cham u.a.: Springer.
Schindler, Diana. 2013. “User-Generated Content for Image Clustering and Marketing Purposes”. In Algorithms from and for Nature and Life, Classification and Data Analysis, ed. B. Lausen, D. Van den Poel, and A. Ultsch, 473-480. Studies in Classification, Data Analysis, and Knowledge Organization. Cham u.a.: Springer.
Schindler, D. (2013). “User-Generated Content for Image Clustering and Marketing Purposes” in Algorithms from and for Nature and Life, Classification and Data Analysis, Lausen, B., Van den Poel, D., and Ultsch, A. eds. Studies in Classification, Data Analysis, and Knowledge Organization (Cham u.a.: Springer), 473-480.
Schindler, D., 2013. User-Generated Content for Image Clustering and Marketing Purposes. In B. Lausen, D. Van den Poel, & A. Ultsch, eds. Algorithms from and for Nature and Life, Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Cham u.a.: Springer, pp. 473-480.
D. Schindler, “User-Generated Content for Image Clustering and Marketing Purposes”, Algorithms from and for Nature and Life, Classification and Data Analysis, B. Lausen, D. Van den Poel, and A. Ultsch, eds., Studies in Classification, Data Analysis, and Knowledge Organization, Cham u.a.: Springer, 2013, pp.473-480.
Schindler, D.: User-Generated Content for Image Clustering and Marketing Purposes. In: Lausen, B., Van den Poel, D., and Ultsch, A. (eds.) Algorithms from and for Nature and Life, Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. p. 473-480. Springer, Cham u.a. (2013).
Schindler, Diana. “User-Generated Content for Image Clustering and Marketing Purposes”. Algorithms from and for Nature and Life, Classification and Data Analysis. Ed. B. Lausen, D. Van den Poel, and A. Ultsch. Cham u.a.: Springer, 2013. Studies in Classification, Data Analysis, and Knowledge Organization. 473-480.
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