Object classification from images is an important task for machine vision and it is a crucial ingredient for many computer vision applications, ranging from security and surveillance to marketing. Image based object classification techniques properly integrate image processing and machine learning (i.e., classification) procedures. In this paper we present a system for automatic simultaneous optimization of algorithms and parameters for object classification from images. More specifically, the proposed system is able to process a dataset of labelled images and to return a best configuration of image processing and classification algorithms and of their parameters with respect to the accuracy of classification. Experiments with real public datasets are used to demonstrate the effectiveness of the developed system.

Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms / Negro Maggio, Valentina; Iocchi, Luca. - STAMPA. - 9445:(2015). ((Intervento presentato al convegno 7th International Conference on Machine Vision, ICMV 2014 tenutosi a Milan; Italy nel 19-21 November 2014 [10.1117/12.2180688].

Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms

IOCCHI, Luca
2015

Abstract

Object classification from images is an important task for machine vision and it is a crucial ingredient for many computer vision applications, ranging from security and surveillance to marketing. Image based object classification techniques properly integrate image processing and machine learning (i.e., classification) procedures. In this paper we present a system for automatic simultaneous optimization of algorithms and parameters for object classification from images. More specifically, the proposed system is able to process a dataset of labelled images and to return a best configuration of image processing and classification algorithms and of their parameters with respect to the accuracy of classification. Experiments with real public datasets are used to demonstrate the effectiveness of the developed system.
7th International Conference on Machine Vision, ICMV 2014
Bayesian Optimization; Machine Learning; Object classification; Electronic, Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic Engineering
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms / Negro Maggio, Valentina; Iocchi, Luca. - STAMPA. - 9445:(2015). ((Intervento presentato al convegno 7th International Conference on Machine Vision, ICMV 2014 tenutosi a Milan; Italy nel 19-21 November 2014 [10.1117/12.2180688].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/951068
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