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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F04%3APU44318%21RIV11-MSM-26220___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
This paper is concerned with a proportion similarity of the substance in images. In particular, we investigate the possibility of finding a cut position in a video sequence. The cut position detector is based on the data comparison when for two successive frames of the video sequence, several parameters are being evaluated. In this contribution we deal only with parameters in time domain, such as mean square and mean absolute error, image fidelity, normalized cross-correlation, Czekanowski distance and normalized distance. All functions are tested with a video sequence containing two cuts. Finally, a qualitative comparison of proposed methods is performed. For the cut detection in time domain is sufficient to use only two parameters: mean absolute error and normalized distance. Besides, for the color input data, the detector may scan only the luminance signal Y of YCbCr representation. This paper is concerned with a proportion similarity of the substance in images. In particular, we investigate the possibility of finding a cut position in a video sequence. The cut position detector is based on the data comparison when for two successive frames of the video sequence, several parameters are being evaluated. In this contribution we deal only with parameters in time domain, such as mean square and mean absolute error, image fidelity, normalized cross-correlation, Czekanowski distance and normalized distance. All functions are tested with a video sequence containing two cuts. Finally, a qualitative comparison of proposed methods is performed. For the cut detection in time domain is sufficient to use only two parameters: mean absolute error and normalized distance. Besides, for the color input data, the detector may scan only the luminance signal Y of YCbCr representation.
dcterms:title
Concept of Variation Detector Used in Video Signal Compression Domain Concept of Variation Detector Used in Video Signal Compression Domain
skos:prefLabel
Concept of Variation Detector Used in Video Signal Compression Domain Concept of Variation Detector Used in Video Signal Compression Domain
skos:notation
RIV/00216305:26220/04:PU44318!RIV11-MSM-26220___
n3:aktivita
n11:P n11:V n11:Z
n3:aktivity
P(GA102/04/2080), P(GD102/03/H109), V, Z(MSM 262200011)
n3:cisloPeriodika
9
n3:dodaniDat
n12:2011
n3:domaciTvurceVysledku
n14:1764780 n14:9838376
n3:druhVysledku
n9:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
558541
n3:idVysledku
RIV/00216305:26220/04:PU44318
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Video signal coding, cut detection, interframe coding, 3D DCT, video cube, transparency
n3:klicoveSlovo
n5:cut%20detection n5:video%20cube n5:interframe%20coding n5:Video%20signal%20coding n5:3D%20DCT n5:transparency
n3:kodStatuVydavatele
GR - Řecká republika
n3:kontrolniKodProRIV
[1EC175042EFE]
n3:nazevZdroje
WSEAS Transactions on Circuits
n3:obor
n15:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n4:GA102%2F04%2F2080 n4:GD102%2F03%2FH109
n3:rokUplatneniVysledku
n12:2004
n3:svazekPeriodika
3
n3:tvurceVysledku
Hanus, Stanislav Frýza, Tomáš
n3:zamer
n6:MSM%20262200011
s:issn
1109-2734
s:numberOfPages
5
n13:organizacniJednotka
26220