Optimized Upload Strategies for Live Scalable Video Transmission from Mobile Devices

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Siekkinen, Matti
dc.contributor.author Masala, Enrico
dc.contributor.author Nurminen, Jukka
dc.date.accessioned 2016-12-16T14:07:30Z
dc.date.issued 2017-04-01
dc.identifier.citation Siekkinen , M , Masala , E & Nurminen , J 2016 , ' Optimized Upload Strategies for Live Scalable Video Transmission from Mobile Devices ' IEEE TRANSACTIONS ON MOBILE COMPUTING . DOI: 10.1109/TMC.2016.2585138 en
dc.identifier.issn 1536-1233
dc.identifier.issn 1558-0660
dc.identifier.other PURE UUID: 418751c2-6dcb-4b1d-8bc1-d4dc5aaf4596
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/optimized-upload-strategies-for-live-scalable-video-transmission-from-mobile-devices(418751c2-6dcb-4b1d-8bc1-d4dc5aaf4596).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/9328285/paper_cameraready.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/23777
dc.description.abstract Sharing live multimedia content is becoming increasingly popular among mobile users. In this article, we study the problem of optimizing video quality in such a scenario using scalable video coding (SVC) and chunked video content. We consider using only standard stateless HTTP servers that do not need to perform additional processing of the video content. Our key contribution is to provide close to optimal algorithms for scheduling video chunk upload for multiple clients having different viewing delays. Given such a set of clients, the problem is to decide which chunks to upload and in which order to upload them so that the quality-delay tradeoff can be optimally balanced. We show by means of simulations that the proposed algorithms can achieve notably better performance than naive solutions in practical cases. Especially the heuristic-based greedy algorithm is a good candidate for deployment on mobile devices because it is not computationally intensive but it still delivers in most cases on-par video qualitycompared to the more complex local optimization algorithm. We also show that using shorter video segments and being able to predict bandwidth and video chunk properties improve the delivered video quality in certain cases. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries IEEE TRANSACTIONS ON MOBILE COMPUTING en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other 113 Computer and information sciences en
dc.subject.other Computer science en
dc.subject.other Communications engineering en
dc.title Optimized Upload Strategies for Live Scalable Video Transmission from Mobile Devices en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Computer Science
dc.contributor.department Polytechnic University of Turin
dc.subject.keyword DASH
dc.subject.keyword live video
dc.subject.keyword mobile video streaming
dc.subject.keyword scalable video coding
dc.subject.keyword video transmission
dc.subject.keyword video upload
dc.subject.keyword Computer Science(all)
dc.subject.keyword 113 Computer and information sciences
dc.subject.keyword Computer science
dc.subject.keyword Communications engineering
dc.identifier.urn URN:NBN:fi:aalto-201612165954
dc.identifier.doi 10.1109/TMC.2016.2585138
dc.type.version acceptedVersion


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