Vis enkel innførsel

dc.contributor.authorSadek, Ahmad
dc.contributor.authorMuddukrishna, Ananya
dc.contributor.authorKalms, Lester
dc.contributor.authorDjupdal, Asbjørn
dc.contributor.authorPodlubne, Ariel
dc.contributor.authorPaolillo, Antonio
dc.contributor.authorGoehringer, Diana
dc.contributor.authorJahre, Magnus
dc.date.accessioned2018-09-07T06:11:01Z
dc.date.available2018-09-07T06:11:01Z
dc.date.created2018-08-17T13:04:32Z
dc.date.issued2018
dc.identifier.citationLecture Notes in Computer Science. 2018, 10824 737-749.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2561347
dc.description.abstractThe TULIPP project aims to simplify development of embedded vision applications with low-power and real-time requirements by providing a complete image processing system package called the TULIPP Starter Kit. To achieve this, the chosen high-performance embedded vision platform needs to be extended with performance analysis and power measurement features. The lack of such features plagues most embedded vision platforms in general and practitioners have adopted adhoc methods to circumvent the problem. In this paper, we describe four generic utilities that complement and refine the capabilities of existing platforms for embedded vision applications. Concretely, we describe a novel power measurement and analysis utility, a platform-optimized image processing library, a dynamic partial reconfiguration utility, and an utility providing support for using the real-time OS HIPPEROS within Xilinx SDSoC. Collectively, these utilities enable efficient development of image processing applications on the TULIPP hardware platform. In future work, we will evaluate the relative benefit of these utilities on key embedded image processing metrics such as frame rate and power consumption.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleSupporting Utilities for Heterogeneous Embedded Image Processing Platforms (STHEM): An Overviewnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber737-749nb_NO
dc.source.volume10824nb_NO
dc.source.journalLecture Notes in Computer Sciencenb_NO
dc.identifier.doi10.1007/978-3-319-78890-6_59
dc.identifier.cristin1602665
dc.relation.projectEC/H2020/688403nb_NO
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Lecture Notes in Computer Science] Locked until 8.4.2019 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-78890-6_59nb_NO
cristin.unitcode194,63,10,0
cristin.unitcode194,63,35,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.unitnameInstitutt for elektroniske systemer
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel