About: An improvement of energy-transfer features using DCT for face detection

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-319-07998-1_59
Description	The basic idea behind the energy-transfer features (ETF) is that the appearance of objects can be successfully described using the function of energy distribution in the image. This function has to be reduced into a reasonable number of values. These values are then considered as the vector that is used as an input for the SVM classifier. The process of reducing can be simply solved by sampling; the input image is divided into the regular cells and inside each cell, the mean of the values is calculated. In this paper, we propose an improvement of this process; the Discrete Cosine Transform (DCT) coefficients are calculated inside the cells (instead of the mean values) to construct the feature vector. In addition, the DCT coefficients are reduced using the Principal Component Analysis (PCA) to create the feature vector with a relatively small dimensionally. The results show that using this approach, the objects can be efficiently encoded with the relatively small set of numbers with promising results that outperform the results of state-of-the-art detectors. The basic idea behind the energy-transfer features (ETF) is that the appearance of objects can be successfully described using the function of energy distribution in the image. This function has to be reduced into a reasonable number of values. These values are then considered as the vector that is used as an input for the SVM classifier. The process of reducing can be simply solved by sampling; the input image is divided into the regular cells and inside each cell, the mean of the values is calculated. In this paper, we propose an improvement of this process; the Discrete Cosine Transform (DCT) coefficients are calculated inside the cells (instead of the mean values) to construct the feature vector. In addition, the DCT coefficients are reduced using the Principal Component Analysis (PCA) to create the feature vector with a relatively small dimensionally. The results show that using this approach, the objects can be efficiently encoded with the relatively small set of numbers with promising results that outperform the results of state-of-the-art detectors. (en)
Title	An improvement of energy-transfer features using DCT for face detection An improvement of energy-transfer features using DCT for face detection (en)
skos:prefLabel	An improvement of energy-transfer features using DCT for face detection An improvement of energy-transfer features using DCT for face detection (en)
skos:notation	RIV/61989100:27240/14:86092994!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Mozdřeň, Karel Sojka, Eduard Šurkala, Milan Fusek, Radovan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	2503
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/14:86092994
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	face detection, energy transfer; DCT; image features (en)
http://linked.open.../riv/klicoveSlovo	DCT image features energy transfer face detection
http://linked.open...ontrolniKodProRIV	[4ABFB60ECDF8]
http://linked.open...v/mistoKonaniAkce	Cherbourg
http://linked.open...i/riv/mistoVydani	London
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science. Volume 8509
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Fusek, Radovan Mozdřeň, Karel Sojka, Eduard Šurkala, Milan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-06-30 (xsd:date)
issn	0302-9743
number of pages	9 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-07998-1_59
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-07997-4
http://localhost/t...ganizacniJednotka	27240

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