Machine learning approach for objective inpainting quality assessment

V.A. Frantc; V.V. Voronin; V.I. Marchuk; A.I. Sherstobitov; S. Agaian; K. Egiazarian

doi:10.1117/12.2063664

Machine learning approach for objective inpainting quality assessment

V.A. Frantc, V.V. Voronin, V.I. Marchuk, A.I. Sherstobitov, S. Agaian, K. Egiazarian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

11 Citations (Scopus)

Translated title of the contribution	Machine learning approach for objective inpainting quality assessment
Original language	English
Title of host publication	Mobile Multimedia/Image Processing, Security, and Applications 2014, Baltimore, MD, United States, 5-6 May 2014
DOIs	https://doi.org/10.1117/12.2063664
Publication status	Published - 2014
Publication type	A4 Article in a conference publication
Event	SPIE CONFERENCE PROCEEDINGS - Duration: 1 Jan 1900 → …

Publication series

Name	SPIE conference proceedings
Volume	9120
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	SPIE CONFERENCE PROCEEDINGS
Period	1/01/00 → …

Publication forum classification

Publication forum level 1

Access to Document

10.1117/12.2063664

Cite this

Frantc, V. A., Voronin, V. V., Marchuk, V. I., Sherstobitov, A. I., Agaian, S., & Egiazarian, K. (2014). Machine learning approach for objective inpainting quality assessment. In Mobile Multimedia/Image Processing, Security, and Applications 2014, Baltimore, MD, United States, 5-6 May 2014 [91200S] (SPIE conference proceedings; Vol. 9120). https://doi.org/10.1117/12.2063664

@inproceedings{2c81078ac0954ab39ea4f7dbb365385e,

title = "Machine learning approach for objective inpainting quality assessment",

author = "V.A. Frantc and V.V. Voronin and V.I. Marchuk and A.I. Sherstobitov and S. Agaian and K. Egiazarian",

note = "Contribution: organisation=sgn,FACT1=1<br/>Portfolio EDEND: 2015-01-20; SPIE CONFERENCE PROCEEDINGS ; Conference date: 01-01-1900",

year = "2014",

doi = "10.1117/12.2063664",

language = "English",

isbn = "978-162841057-0",

series = "SPIE conference proceedings",

booktitle = "Mobile Multimedia/Image Processing, Security, and Applications 2014, Baltimore, MD, United States, 5-6 May 2014",

}

Frantc, VA, Voronin, VV, Marchuk, VI, Sherstobitov, AI, Agaian, S & Egiazarian, K 2014, Machine learning approach for objective inpainting quality assessment. in Mobile Multimedia/Image Processing, Security, and Applications 2014, Baltimore, MD, United States, 5-6 May 2014., 91200S, SPIE conference proceedings, vol. 9120, SPIE CONFERENCE PROCEEDINGS, 1/01/00. https://doi.org/10.1117/12.2063664

Machine learning approach for objective inpainting quality assessment. / Frantc, V.A.; Voronin, V.V.; Marchuk, V.I.; Sherstobitov, A.I.; Agaian, S.; Egiazarian, K.

Mobile Multimedia/Image Processing, Security, and Applications 2014, Baltimore, MD, United States, 5-6 May 2014. 2014. 91200S (SPIE conference proceedings; Vol. 9120).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Machine learning approach for objective inpainting quality assessment

AU - Frantc, V.A.

AU - Voronin, V.V.

AU - Marchuk, V.I.

AU - Sherstobitov, A.I.

AU - Agaian, S.

AU - Egiazarian, K.

N1 - Contribution: organisation=sgn,FACT1=1<br/>Portfolio EDEND: 2015-01-20

PY - 2014

Y1 - 2014

U2 - 10.1117/12.2063664

DO - 10.1117/12.2063664

M3 - Conference contribution

SN - 978-162841057-0

T3 - SPIE conference proceedings

BT - Mobile Multimedia/Image Processing, Security, and Applications 2014, Baltimore, MD, United States, 5-6 May 2014

T2 - SPIE CONFERENCE PROCEEDINGS

Y2 - 1 January 1900

ER -