Please use this identifier to cite or link to this item: doi:10.22028/D291-37850
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Title: The Next Generation of In-home Streaming: Light Fields, 5K, 10 GbE, and Foveated Compression
Author(s): Pohl, Daniel
Jungmann, Daniel
Taudul, Bartosz
Membarth, Richard
Hariharan, Harini
Herfet, Thorsten
Grau, Oliver
Language: English
Title: 2017 Federated Conference on Computer Science and Information Systems (FedCSIS)
Volume: 11
Pages: 663-667
Publisher/Platform: IEEE
Year of Publication: 2017
Place of publication: Piscataway, NJ
Place of the conference: Prague, Czech Republic
Free key words: in-home streaming
ETC1
ETC2
DXT1
light fields
DDC notations: 004 Computer science, internet
Publikation type: Conference Paper
Abstract: Interacting with real-time rendered 3D content from powerful machines on smaller devices is becoming ubiquitous through commercial products that enable in-home streaming within the same local network. However, support for high resolution, low latency in-home streaming at high image quality is still a challenging problem. To enable this, we enhance an existing open source framework for in-home streaming. We add highly optimized DXT1 (DirectX Texture Compression) support for thin desktop and notebook clients. For rendered light fields, we improve the encoding algorithms for higher image quality. Within a 10 Gigabit Ethernet (10 GbE) network, we achieve streaming up to 5K resolution at 55 frames per second. Through new low-level algorithmic improvements, we increase the compression speed of ETC1 (Ericsson Texture Compression) by a factor of 5. We are the first to bring ETC2 compression to real-time speed, which increases the streamed image quality. Last, we reduce the required data rate by more than a factor of 2 through foveated compression with real-time eye tracking.
DOI of the first publication: 10.15439/2017F16
Link to this record: urn:nbn:de:bsz:291--ds-378504
hdl:20.500.11880/34235
http://dx.doi.org/10.22028/D291-37850
ISBN: 978-83-946253-7-5
978-83-946253-8-2 (ISBN der parallelen Ausg. auf e. anderen Datenträger)
978-1-5090-4414-6 (ISBN der Printausgabe)
ISSN: 2300-5963
Date of registration: 7-Nov-2022
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Thorsten Herfet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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