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A perceptual quality metric for high-definition stereoscopic 3D video

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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A perceptual quality metric for high-definition stereoscopic 3D video. / Battisti, F.; Carli, M.; Stramacci, A.; Boev, A.; Gotchev, A.

Image Processing: Algorithms and Systems XIII. SPIE, 2015. 939916 (SPIE Conference Proceedings; Vol. 9399).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Battisti, F, Carli, M, Stramacci, A, Boev, A & Gotchev, A 2015, A perceptual quality metric for high-definition stereoscopic 3D video. in Image Processing: Algorithms and Systems XIII., 939916, SPIE Conference Proceedings, vol. 9399, SPIE, IS&T/SPIE Electronic Imaging / Image Processing: Algorithms and Systems, 1/01/00. https://doi.org/10.1117/12.2086901

APA

Battisti, F., Carli, M., Stramacci, A., Boev, A., & Gotchev, A. (2015). A perceptual quality metric for high-definition stereoscopic 3D video. In Image Processing: Algorithms and Systems XIII [939916] (SPIE Conference Proceedings; Vol. 9399). SPIE. https://doi.org/10.1117/12.2086901

Vancouver

Battisti F, Carli M, Stramacci A, Boev A, Gotchev A. A perceptual quality metric for high-definition stereoscopic 3D video. In Image Processing: Algorithms and Systems XIII. SPIE. 2015. 939916. (SPIE Conference Proceedings). https://doi.org/10.1117/12.2086901

Author

Battisti, F. ; Carli, M. ; Stramacci, A. ; Boev, A. ; Gotchev, A. / A perceptual quality metric for high-definition stereoscopic 3D video. Image Processing: Algorithms and Systems XIII. SPIE, 2015. (SPIE Conference Proceedings).

Bibtex - Download

@inproceedings{c186355599b341d18842af825a760816,
title = "A perceptual quality metric for high-definition stereoscopic 3D video",
abstract = "The use of 3D video is growing in several fields such as entertainment, military simulations, medical applications. However, the process of recording, transmitting, and processing 3D video is prone to errors thus producing artifacts that may affect the perceived quality. Nowadays a challenging task is the definition of a new metric able to predict the perceived quality with low computational complexity in order to be used in real-time applications. The research in this field is very active due to the complexity of the analysis of the influence of stereoscopic cues. In this paper we present a novel stereoscopic metric based on the combination of relevant features able to predict the subjective quality rating in a more accurate way.",
keywords = "Quality metric, Stereoscopic 3D video, Video transmission",
author = "F. Battisti and M. Carli and A. Stramacci and A. Boev and A. Gotchev",
year = "2015",
doi = "10.1117/12.2086901",
language = "English",
isbn = "9781628414899",
series = "SPIE Conference Proceedings",
publisher = "SPIE",
booktitle = "Image Processing: Algorithms and Systems XIII",
address = "United States",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - A perceptual quality metric for high-definition stereoscopic 3D video

AU - Battisti, F.

AU - Carli, M.

AU - Stramacci, A.

AU - Boev, A.

AU - Gotchev, A.

PY - 2015

Y1 - 2015

N2 - The use of 3D video is growing in several fields such as entertainment, military simulations, medical applications. However, the process of recording, transmitting, and processing 3D video is prone to errors thus producing artifacts that may affect the perceived quality. Nowadays a challenging task is the definition of a new metric able to predict the perceived quality with low computational complexity in order to be used in real-time applications. The research in this field is very active due to the complexity of the analysis of the influence of stereoscopic cues. In this paper we present a novel stereoscopic metric based on the combination of relevant features able to predict the subjective quality rating in a more accurate way.

AB - The use of 3D video is growing in several fields such as entertainment, military simulations, medical applications. However, the process of recording, transmitting, and processing 3D video is prone to errors thus producing artifacts that may affect the perceived quality. Nowadays a challenging task is the definition of a new metric able to predict the perceived quality with low computational complexity in order to be used in real-time applications. The research in this field is very active due to the complexity of the analysis of the influence of stereoscopic cues. In this paper we present a novel stereoscopic metric based on the combination of relevant features able to predict the subjective quality rating in a more accurate way.

KW - Quality metric

KW - Stereoscopic 3D video

KW - Video transmission

U2 - 10.1117/12.2086901

DO - 10.1117/12.2086901

M3 - Conference contribution

SN - 9781628414899

T3 - SPIE Conference Proceedings

BT - Image Processing: Algorithms and Systems XIII

PB - SPIE

ER -