GRAPH BASED DESCRIPTOR EVALUATION TOWARDS AUTOMATIC FEATURE SELECTION

Anita Keszler; Levente Kovács; Tamás Szirányi

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Paper

GRAPH BASED DESCRIPTOR EVALUATION TOWARDS AUTOMATIC FEATURE SELECTION

Topics: Content-Based Indexing, Search, and Retrieval; Features Extraction

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 375-380, 2012 , Rome, Italy

Authors: Anita Keszler ; Levente Kovács and Tamás Szirányi

Affiliation: Computer and Automation Research Institute of the Hungarian Academy of Sciences (MTA SZTAKI), Hungary

Keyword(s): Graph Representation, Components, Feature Selection.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: This paper presents the first steps towards an automated image and video feature descriptor evaluation framework, based on several points of view. First, evaluation of distance distributions of images and videos for several descriptors are performed, then a graph-based representation of database contents and evaluation of the appearance of the giant component is performed. The goal is to lay the foundations for an evaluation framework where different descriptors and their combinations can be analyzed, with the goal of later application for automatic feature selection.

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Paper citation in several formats:

Keszler, A.; Kovács, L. and Szirányi, T. (2012). GRAPH BASED DESCRIPTOR EVALUATION TOWARDS AUTOMATIC FEATURE SELECTION. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 375-380. DOI: 10.5220/0003868503750380

@conference{visapp12,
author={Anita Keszler. and Levente Kovács. and Tamás Szirányi.},
title={GRAPH BASED DESCRIPTOR EVALUATION TOWARDS AUTOMATIC FEATURE SELECTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={375-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003868503750380},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - GRAPH BASED DESCRIPTOR EVALUATION TOWARDS AUTOMATIC FEATURE SELECTION
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Keszler, A.
AU - Kovács, L.
AU - Szirányi, T.
PY - 2012
SP - 375
EP - 380
DO - 10.5220/0003868503750380
PB - SciTePress