Standard

Representation and comparison methods for semantically different images. / Kukharev, G. A.; Shchegoleva, N. L.; Kamenskaya, E. I.

в: Pattern Recognition and Image Analysis, Том 24, № 4, 16.12.2014, стр. 518-529.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Kukharev, GA, Shchegoleva, NL & Kamenskaya, EI 2014, 'Representation and comparison methods for semantically different images', Pattern Recognition and Image Analysis, Том. 24, № 4, стр. 518-529. https://doi.org/10.1134/S1054661814040105

APA

Kukharev, G. A., Shchegoleva, N. L., & Kamenskaya, E. I. (2014). Representation and comparison methods for semantically different images. Pattern Recognition and Image Analysis, 24(4), 518-529. https://doi.org/10.1134/S1054661814040105

Vancouver

Kukharev GA, Shchegoleva NL, Kamenskaya EI. Representation and comparison methods for semantically different images. Pattern Recognition and Image Analysis. 2014 Дек. 16;24(4):518-529. https://doi.org/10.1134/S1054661814040105

Author

Kukharev, G. A. ; Shchegoleva, N. L. ; Kamenskaya, E. I. / Representation and comparison methods for semantically different images. в: Pattern Recognition and Image Analysis. 2014 ; Том 24, № 4. стр. 518-529.

BibTeX

@article{27f9bc67df0a4e6786cf1a0970105de0,
title = "Representation and comparison methods for semantically different images",
abstract = "This paper discusses the methods of presentation and comparison of semantically unrelated images with an assessment of their similarity in original feature space, and in the Space of Canonical Variables (SCV). The projection of source images in SCV is implemented using a two-dimensional canonical correlation analysis algorithm (2D CCA/2D KLT).",
keywords = "canonical correlation analysis, comparison of semantically unrelated images, phase correlation, structural similarity index",
author = "Kukharev, {G. A.} and Shchegoleva, {N. L.} and Kamenskaya, {E. I.}",
year = "2014",
month = dec,
day = "16",
doi = "10.1134/S1054661814040105",
language = "English",
volume = "24",
pages = "518--529",
journal = "Pattern Recognition and Image Analysis",
issn = "1054-6618",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "4",

}

RIS

TY - JOUR

T1 - Representation and comparison methods for semantically different images

AU - Kukharev, G. A.

AU - Shchegoleva, N. L.

AU - Kamenskaya, E. I.

PY - 2014/12/16

Y1 - 2014/12/16

N2 - This paper discusses the methods of presentation and comparison of semantically unrelated images with an assessment of their similarity in original feature space, and in the Space of Canonical Variables (SCV). The projection of source images in SCV is implemented using a two-dimensional canonical correlation analysis algorithm (2D CCA/2D KLT).

AB - This paper discusses the methods of presentation and comparison of semantically unrelated images with an assessment of their similarity in original feature space, and in the Space of Canonical Variables (SCV). The projection of source images in SCV is implemented using a two-dimensional canonical correlation analysis algorithm (2D CCA/2D KLT).

KW - canonical correlation analysis

KW - comparison of semantically unrelated images

KW - phase correlation

KW - structural similarity index

UR - http://www.scopus.com/inward/record.url?scp=84917726284&partnerID=8YFLogxK

U2 - 10.1134/S1054661814040105

DO - 10.1134/S1054661814040105

M3 - Article

AN - SCOPUS:84917726284

VL - 24

SP - 518

EP - 529

JO - Pattern Recognition and Image Analysis

JF - Pattern Recognition and Image Analysis

SN - 1054-6618

IS - 4

ER -

ID: 49224998