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Towards Automatic Feature Vector Optimization for Multimedia Applications

Schreck, Tobias and Fellner, Dieter W. and Keim, Daniel (2008):
Towards Automatic Feature Vector Optimization for Multimedia Applications.
pp. 1197-1201, ACM Press, New York, ACM Symposium on Applied Computing 2008. Proceedings, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2008
Creators: Schreck, Tobias and Fellner, Dieter W. and Keim, Daniel
Title: Towards Automatic Feature Vector Optimization for Multimedia Applications
Language: English
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.

Publisher: ACM Press, New York
Uncontrolled Keywords: Forschungsgruppe Visual Search and Analysis (VISA), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Self-organizing maps (SOM), Feature selection, Feature description, Discrimination analysis
Divisions: UNSPECIFIED
20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: ACM Symposium on Applied Computing 2008. Proceedings
Date Deposited: 16 Apr 2018 09:03
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