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Architectures and codecs for real-time light field streaming

Tutkimustuotosvertaisarvioitu

Standard

Architectures and codecs for real-time light field streaming. / Kovács, Péter Tamás; Zare, Alireza; Balogh, Tibor; Bregovic, Robert; Gotchev, Atanas.

julkaisussa: Journal of Imaging Science and Technology, Vuosikerta 61, Nro 1, 010403, 01.01.2017.

Tutkimustuotosvertaisarvioitu

Harvard

Kovács, PT, Zare, A, Balogh, T, Bregovic, R & Gotchev, A 2017, 'Architectures and codecs for real-time light field streaming', Journal of Imaging Science and Technology, Vuosikerta. 61, Nro 1, 010403. https://doi.org/10.2352/J.ImagingSci.Technol.2017.61.1.010403

APA

Kovács, P. T., Zare, A., Balogh, T., Bregovic, R., & Gotchev, A. (2017). Architectures and codecs for real-time light field streaming. Journal of Imaging Science and Technology, 61(1), [010403]. https://doi.org/10.2352/J.ImagingSci.Technol.2017.61.1.010403

Vancouver

Kovács PT, Zare A, Balogh T, Bregovic R, Gotchev A. Architectures and codecs for real-time light field streaming. Journal of Imaging Science and Technology. 2017 tammi 1;61(1). 010403. https://doi.org/10.2352/J.ImagingSci.Technol.2017.61.1.010403

Author

Kovács, Péter Tamás ; Zare, Alireza ; Balogh, Tibor ; Bregovic, Robert ; Gotchev, Atanas. / Architectures and codecs for real-time light field streaming. Julkaisussa: Journal of Imaging Science and Technology. 2017 ; Vuosikerta 61, Nro 1.

Bibtex - Lataa

@article{e323545991174460b69084690a6076a0,
title = "Architectures and codecs for real-time light field streaming",
abstract = "Light field 3D displays represent a major step forward in visual realism, providing glasses-free spatial vision of real or virtual scenes. Applications that capture and process live imagery have to process data captured by potentially tens to hundreds of cameras and control tens to hundreds of projection engines making up the human perceivable 3D light field using a distributed processing system. The associated massive data processing is difficult to scale beyond a specific number and resolution of images, limited by the capabilities of the individual computing nodes. The authors therefore analyze the bottlenecks and data flow of the light field conversion process and identify possibilities to introduce better scalability. Based on this analysis they propose two different architectures for distributed light field processing. To avoid using uncompressed video data all along the processing chain, the authors also analyze how the operation of the proposed architectures can be supported by existing image/video codecs.",
author = "Kov{\'a}cs, {P{\'e}ter Tam{\'a}s} and Alireza Zare and Tibor Balogh and Robert Bregovic and Atanas Gotchev",
year = "2017",
month = "1",
day = "1",
doi = "10.2352/J.ImagingSci.Technol.2017.61.1.010403",
language = "English",
volume = "61",
journal = "Journal of Imaging Science and Technology",
issn = "1062-3701",
publisher = "I S & T-SOC IMAGING SCIENCE TECHNOLOGY",
number = "1",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Architectures and codecs for real-time light field streaming

AU - Kovács, Péter Tamás

AU - Zare, Alireza

AU - Balogh, Tibor

AU - Bregovic, Robert

AU - Gotchev, Atanas

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Light field 3D displays represent a major step forward in visual realism, providing glasses-free spatial vision of real or virtual scenes. Applications that capture and process live imagery have to process data captured by potentially tens to hundreds of cameras and control tens to hundreds of projection engines making up the human perceivable 3D light field using a distributed processing system. The associated massive data processing is difficult to scale beyond a specific number and resolution of images, limited by the capabilities of the individual computing nodes. The authors therefore analyze the bottlenecks and data flow of the light field conversion process and identify possibilities to introduce better scalability. Based on this analysis they propose two different architectures for distributed light field processing. To avoid using uncompressed video data all along the processing chain, the authors also analyze how the operation of the proposed architectures can be supported by existing image/video codecs.

AB - Light field 3D displays represent a major step forward in visual realism, providing glasses-free spatial vision of real or virtual scenes. Applications that capture and process live imagery have to process data captured by potentially tens to hundreds of cameras and control tens to hundreds of projection engines making up the human perceivable 3D light field using a distributed processing system. The associated massive data processing is difficult to scale beyond a specific number and resolution of images, limited by the capabilities of the individual computing nodes. The authors therefore analyze the bottlenecks and data flow of the light field conversion process and identify possibilities to introduce better scalability. Based on this analysis they propose two different architectures for distributed light field processing. To avoid using uncompressed video data all along the processing chain, the authors also analyze how the operation of the proposed architectures can be supported by existing image/video codecs.

U2 - 10.2352/J.ImagingSci.Technol.2017.61.1.010403

DO - 10.2352/J.ImagingSci.Technol.2017.61.1.010403

M3 - Article

VL - 61

JO - Journal of Imaging Science and Technology

JF - Journal of Imaging Science and Technology

SN - 1062-3701

IS - 1

M1 - 010403

ER -