Schreck, Tobias ; Fellner, Dieter W. ; Keim, Daniel (2008)
Towards Automatic Feature Vector Optimization for Multimedia Applications.
ACM Symposium on Applied Computing 2008. Proceedings.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of experiments using real and synthetic benchmark data is conducted, the results of which indicate the suitability of the method for unsupervised feature selection and optimization. We present an approach for generating synthetic feature spaces of varying discrimination power, modelling main characteristics from real world feature vector extractors. A simple, yet powerful visualization is used to communicate the results of the automatic analysis to the user.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2008 |
| Autor(en): | Schreck, Tobias ; Fellner, Dieter W. ; Keim, Daniel |
| Art des Eintrags: | Bibliographie |
| Titel: | Towards Automatic Feature Vector Optimization for Multimedia Applications |
| Sprache: | Englisch |
| Publikationsjahr: | 2008 |
| Verlag: | ACM Press, New York |
| Veranstaltungstitel: | ACM Symposium on Applied Computing 2008. Proceedings |
| Kurzbeschreibung (Abstract): | We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of experiments using real and synthetic benchmark data is conducted, the results of which indicate the suitability of the method for unsupervised feature selection and optimization. We present an approach for generating synthetic feature spaces of varying discrimination power, modelling main characteristics from real world feature vector extractors. A simple, yet powerful visualization is used to communicate the results of the automatic analysis to the user. |
| Freie Schlagworte: | Forschungsgruppe Visual Search and Analysis (VISA), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Self-organizing maps (SOM), Feature selection, Feature description, Discrimination analysis |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 16 Apr 2018 09:03 |
| Letzte Änderung: | 04 Feb 2022 12:41 |
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