GPU-accelerated DXT and JPEG compression schemes for
low-latency network transmissions of HD, 2K, and 4K video

J 2013

GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video

HOLUB, Petr, Martin ŠROM, Martin PULEC, Jiří MATELA, Martin JIRMAN et. al.

Basic information

Original name

GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video

Name in Czech

GPU-akcelerovaná kompresní schémata JPEG a DXT pro nízkolatenční síťové přenosy HD, 2K a 4K videa

Authors

HOLUB, Petr (203 Czech Republic, guarantor, belonging to the institution), Martin ŠROM (203 Czech Republic), Martin PULEC (203 Czech Republic), Jiří MATELA (203 Czech Republic, belonging to the institution) and Martin JIRMAN (203 Czech Republic)

Edition

Future Generation Computer Systems, Amsterdam, The Netherlands, Elsevier Science, 2013, 0167-739X

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 2.639

RIV identification code

RIV/00216224:14610/13:00066259

Organization unit

Institute of Computer Science

DOI

http://dx.doi.org/10.1016/j.future.2013.06.006

UT WoS

000326613400011

Keywords in English

GPU-accelerated compression; Video processing; Low-latency compression; DXT1; DXT5 View the MathML sourceYView the MathML sourceCoView the MathML sourceCg ; Motion JPEG; Parallel Huffman coding; Parallel run-length coding;

Abstract

V originále

Low-latency transmissions of high resolution video such as HD, 2K, or 4K over both Internet and private IP networks have found a foothold in many interactive applications, ranging from collaborative environments in science and medicine to the arts and entertainment industry. In this paper we demonstrate how the power of commodity graphics processing units can be used for efficient implementation of JPEG and DXT compression. We propose an approach to fine-grained parallelization of JPEG compression and the use of auxiliary indexes for efficient decompression, which are backward compatible with the JPEG standard. In-depth performance analysis is provided to show various aspects of the proposed parallelization including the dependency on image content and on various settings of the compression algorithm, as well as the impact of compression for interactive applications in terms of end-to-end latency. The applicability of these compression schemes in medicine and cinematography has also been evaluated using double-blind ABX tests compared with uncompressed video. We describe selected successful real-world deployment use cases based on our open-source implementation within the UltraGrid framework, such as trans-Atlantic 4K interactive video streaming during the CineGrid 2011 workshop. As discussed in the paper, the proposed approaches to parallelization provide sufficient performance even for the future generation of 8K video processing systems, currently limited by availability of camera and display hardware.

Links

GAP202/12/0306, research and development project

Name: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů (Acronym: Dyschnet)

Investor: Czech Science Foundation

GD102/09/H042, research and development project

Name: Matematické a inženýrské metody pro vývoj spolehlivých a bezpečných paralelních a distribuovaných počítačových systémů

Investor: Czech Science Foundation

Files attached

1-s2.0-S0167739X13001209-main.pdf

Request the author's version of the file

Citovat

HOLUB, Petr, Martin ŠROM, Martin PULEC, Jiří MATELA and Martin JIRMAN. GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video. Future Generation Computer Systems. Amsterdam, The Netherlands: Elsevier Science, 2013, vol. 29, No 8, p. 1991-2006. ISSN 0167-739X. Available from: https://dx.doi.org/10.1016/j.future.2013.06.006.

@article{1116913,
   author = {Holub, Petr and Šrom, Martin and Pulec, Martin and Matela, Jiří and Jirman, Martin},
   article_location = {Amsterdam, The Netherlands},
   article_number = {8},
   doi = {http://dx.doi.org/10.1016/j.future.2013.06.006},
   keywords = {GPU-accelerated compression; Video processing; Low-latency compression; DXT1; DXT5 View the MathML sourceYView the MathML sourceCoView the MathML sourceCg ; Motion JPEG; Parallel Huffman coding; Parallel run-length coding;},
   language = {eng},
   issn = {0167-739X},
   journal = {Future Generation Computer Systems},
   title = {GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video},
   url = {https://www.sciencedirect.com/science/article/pii/S0167739X13001209?np=y},
   volume = {29},
   year = {2013}
}

TY  - JOUR
ID  - 1116913
AU  - Holub, Petr - Šrom, Martin - Pulec, Martin - Matela, Jiří - Jirman, Martin
PY  - 2013
TI  - GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video
JF  - Future Generation Computer Systems
VL  - 29
IS  - 8
SP  - 1991-2006
EP  - 1991-2006
PB  - Elsevier Science
SN  - 0167739X
KW  - GPU-accelerated compression
KW  - Video processing
KW  - Low-latency compression
KW  - DXT1
KW  - DXT5 View the MathML sourceYView the MathML sourceCoView the MathML sourceCg
KW  - Motion JPEG
KW  - Parallel Huffman coding
KW  - Parallel run-length coding;
UR  - https://www.sciencedirect.com/science/article/pii/S0167739X13001209?np=y
L2  - https://www.sciencedirect.com/science/article/pii/S0167739X13001209?np=y
N2  - Low-latency transmissions of high resolution video such as HD, 2K, or 4K over both Internet and private IP networks have found a foothold in many interactive applications, ranging from collaborative environments in science and medicine to the arts and entertainment industry. In this paper we demonstrate how the power of commodity graphics processing units can be used for efficient implementation of JPEG and DXT compression. We propose an approach to fine-grained parallelization of JPEG compression and the use of auxiliary indexes for efficient decompression, which are backward compatible with the JPEG standard. In-depth performance analysis is provided to show various aspects of the proposed parallelization including the dependency on image content and on various settings of the compression algorithm, as well as the impact of compression for interactive applications in terms of end-to-end latency. The applicability of these compression schemes in medicine and cinematography has also been evaluated using double-blind ABX tests compared with uncompressed video. We describe selected successful real-world deployment use cases based on our open-source implementation within the UltraGrid framework, such as trans-Atlantic 4K interactive video streaming during the CineGrid 2011 workshop. As discussed in the paper, the proposed approaches to parallelization provide sufficient performance even for the future generation of 8K video processing systems, currently limited by availability of camera and display hardware.
ER  -

HOLUB, Petr, Martin ŠROM, Martin PULEC, Jiří MATELA and Martin JIRMAN. GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video. \textit{Future Generation Computer Systems}. Amsterdam, The Netherlands: Elsevier Science, 2013, vol.~29, No~8, p.~1991-2006. ISSN~0167-739X. Available from: https://dx.doi.org/10.1016/j.future.2013.06.006.

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