About: Gradient-DCT (G-DCT) descriptors

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Gradient-DCT (G-DCT) descriptors Goto Sponge NotDistinct Permalink

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://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7001946
Description	Many feature-based object detectors have shown that the use of gradient image information can be a very efficient way to describe the appearance of objects. Especially, the gradient sizes, directions and histograms are commonly used. In this area, the histogram of oriented gradients (HOG) is considered as the state-of-the-art method. The histograms and gradient orientations are used to encode the gradient information in HOG. Nevertheless, many works have proved that the feature vector dimensionality of HOG can be reduced; particularly, the information of the gradient directions is redundant and it can be reduced. This was the motivation to encode the gradient information with the least possible redundant information. In this paper, we propose the method in which the discrete cosine transform (DCT) is used to effectively encode the gradient information; using DCT, the gradient information can be encoded with a relatively small set of DCT coefficients in which the most important gradient information is preserved. We show the properties of presented method for the case of solving the problem of face and pedestrian detection. Many feature-based object detectors have shown that the use of gradient image information can be a very efficient way to describe the appearance of objects. Especially, the gradient sizes, directions and histograms are commonly used. In this area, the histogram of oriented gradients (HOG) is considered as the state-of-the-art method. The histograms and gradient orientations are used to encode the gradient information in HOG. Nevertheless, many works have proved that the feature vector dimensionality of HOG can be reduced; particularly, the information of the gradient directions is redundant and it can be reduced. This was the motivation to encode the gradient information with the least possible redundant information. In this paper, we propose the method in which the discrete cosine transform (DCT) is used to effectively encode the gradient information; using DCT, the gradient information can be encoded with a relatively small set of DCT coefficients in which the most important gradient information is preserved. We show the properties of presented method for the case of solving the problem of face and pedestrian detection. (en)
Title	Gradient-DCT (G-DCT) descriptors Gradient-DCT (G-DCT) descriptors (en)
skos:prefLabel	Gradient-DCT (G-DCT) descriptors Gradient-DCT (G-DCT) descriptors (en)
skos:notation	RIV/61989100:27240/14:86093011!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	Sojka, Eduard 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	18525
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/14:86093011
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	object description; image features; feature extraction (en)
http://linked.open.../riv/klicoveSlovo	image features object description feature extraction
http://linked.open...ontrolniKodProRIV	[35527B9C12B0]
http://linked.open...v/mistoKonaniAkce	Paříž
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Fusek, Radovan Sojka, Eduard
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-14 (xsd:date)
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/IPTA.2014.7001946
http://purl.org/ne...btex#hasPublisher	Institute of Electrical and Electronics Engineers
https://schema.org/isbn	978-1-4799-6461-1
http://localhost/t...ganizacniJednotka	27240

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 41 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software