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dc.contributor.authorKammacher, Tobias-
dc.contributor.authorWeiss, Armin-
dc.contributor.authorFrei, Matthias-
dc.date.accessioned2018-05-29T13:00:52Z-
dc.date.available2018-05-29T13:00:52Z-
dc.date.issued2017-10-22-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/6197-
dc.description.abstractLearn how to develop and test a 4K video processing and streaming application on the NVIDIA Jetson TX1/TX2 embedded platform with GStreamer. To achieve real-time video processing, the diverse processing resources of this high-performance embedded architecture need to be employed optimally. The heterogeneous system architecture allows capturing, processing, and streaming of video with a single chip. The main challenges lie in the optimal utilization of the different hardware resources of the Jetson TX1 (CPU, GPU, dedicated hardware blocks) and in the extensive software stack (from Linux drivers to GStreamer application). We will discuss variants, identify bottlenecks, and show the interaction between hardware and software. Simple capturing and displaying video from the built-in camera can be achieved using out-of-the-box methods. However, for capturing 4K from HDMI we had to dig into the documentation, rewrite the drivers for the Video capture system, write a driver for an external HDMI to CSI converter and figure out efficient zero-copy methods. GPU-based enhancements were developed and integrated for real-time video processing tasks (scaling and video mixing).de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectVideode_CH
dc.subjectProcessingde_CH
dc.subjectGPUde_CH
dc.subjectEmbeddedde_CH
dc.subjectNVIDIA Jetson TX1de_CH
dc.subjectNVIDIA Jetson TX2de_CH
dc.subject4Kde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleEfficient Video Processing on Embedded GPUde_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Embedded Systems (InES)de_CH
zhaw.conference.detailsGStreamer Conference, Prague, Czech Republic, 22. October 2017de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
Appears in collections:Publikationen School of Engineering

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Kammacher, T., Weiss, A., & Frei, M. (2017, October 22). Efficient Video Processing on Embedded GPU. GStreamer Conference, Prague, Czech Republic, 22. October 2017.
Kammacher, T., Weiss, A. and Frei, M. (2017) ‘Efficient Video Processing on Embedded GPU’, in GStreamer Conference, Prague, Czech Republic, 22. October 2017.
T. Kammacher, A. Weiss, and M. Frei, “Efficient Video Processing on Embedded GPU,” in GStreamer Conference, Prague, Czech Republic, 22. October 2017, Oct. 2017.
KAMMACHER, Tobias, Armin WEISS und Matthias FREI, 2017. Efficient Video Processing on Embedded GPU. In: GStreamer Conference, Prague, Czech Republic, 22. October 2017. Conference presentation. 22 Oktober 2017
Kammacher, Tobias, Armin Weiss, and Matthias Frei. 2017. “Efficient Video Processing on Embedded GPU.” Conference presentation. In GStreamer Conference, Prague, Czech Republic, 22. October 2017.
Kammacher, Tobias, et al. “Efficient Video Processing on Embedded GPU.” GStreamer Conference, Prague, Czech Republic, 22. October 2017, 2017.


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