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Statements

Subject Item
n2:RIV%2F00216224%3A14610%2F13%3A00066259%21RIV14-GA0-14610___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
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. 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.
dcterms:title
GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video
skos:prefLabel
GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video GPU-accelerated DXT and JPEG compression schemes for low-latency network transmissions of HD, 2K, and 4K video
skos:notation
RIV/00216224:14610/13:00066259!RIV14-GA0-14610___
n14:predkladatel
n15:orjk%3A14610
n3:aktivita
n17:P
n3:aktivity
P(GAP202/12/0306), P(GD102/09/H042), P(LM2010005)
n3:cisloPeriodika
8
n3:dodaniDat
n18:2014
n3:domaciTvurceVysledku
n7:2121816 n7:6964273
n3:druhVysledku
n13:J
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
76777
n3:idVysledku
RIV/00216224:14610/13:00066259
n3:jazykVysledku
n19:eng
n3:klicovaSlova
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
n3:klicoveSlovo
n8:Video%20processing n8:DXT1 n8:Parallel%20Huffman%20coding n8:Parallel%20run-length%20coding n8:Motion%20JPEG n8:GPU-accelerated%20compression n8:Low-latency%20compression n8:DXT5%20View%20the%20MathML%20sourceYView%20the%20MathML%20sourceCoView%20the%20MathML%20sourceCg
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[D61D69DDC8A5]
n3:nazevZdroje
Future Generation Computer Systems
n3:obor
n20:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
5
n3:projekt
n11:GD102%2F09%2FH042 n11:LM2010005 n11:GAP202%2F12%2F0306
n3:rokUplatneniVysledku
n18:2013
n3:svazekPeriodika
29
n3:tvurceVysledku
Šrom, Martin Holub, Petr Matela, Jiří Pulec, Martin Jirman, Martin
n3:wos
000326613400011
s:issn
0167-739X
s:numberOfPages
16
n10:doi
10.1016/j.future.2013.06.006
n16:organizacniJednotka
14610