Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105702
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dc.contributorDepartment of Computing-
dc.creatorLi, Jen_US
dc.creatorPeng, Zen_US
dc.creatorXiao, Ben_US
dc.date.accessioned2024-04-15T07:35:59Z-
dc.date.available2024-04-15T07:35:59Z-
dc.identifier.isbn978-1-5090-2634-0 (Electronic)en_US
dc.identifier.isbn978-1-5090-2635-7 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/105702-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication J. Li, Z. Peng and B. Xiao, "Smartphone-assisted smooth live video broadcast on wearable cameras," 2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), Beijing, China, 2016, pp. 1-6 is available at https://doi.org/10.1109/IWQoS.2016.7590439.en_US
dc.titleSmartphone-assisted smooth live video broadcast on wearable camerasen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/IWQoS.2016.7590439en_US
dcterms.abstractWearable cameras require connecting to cellular-capable devices (e.g., smartphones) so as to provide live broadcast services for worldwide users when Wi-Fi is unavailable. However, the constantly changing cellular network conditions may substantially slow down the upload of recorded videos. In this paper, we consider the scenario where wearable cameras upload live videos to remote distribution servers under cellular networks, aiming at maximizing the quality of uploaded videos while meeting the delay requirements. To attain the goal, we propose a dynamic video coding approach that utilizes dynamic video recording resolution adjustment on wearable cameras and Lyapunov based video preprocessing on smartphones. Our proposed resolution adjustment algorithm adapts to network condition changes, and reduces the overheads of video preprocessing. Due to the property of Lyapunov optimization framework, our proposed video preprocessing algorithm delivers near-optimal video quality while meeting the upload delay requirements. Our evaluation results show that our approach achieves up to 50% reduction in power consumption on smartphones and up to 60% reduction in average delay, at the cost of slightly compromised video quality.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2016 IEEE/ACM 24th International Symposium on Quality of Service : 20-21 June 2016, Beijing, China, 7590439en_US
dcterms.issued2016-
dc.identifier.scopus2-s2.0-85009732671-
dc.relation.conferenceIEEE/ACM International Symposium on Quality of Service [IWQoS]-
dc.identifier.artn7590439en_US
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-1427-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHK PolyUen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9586158-
dc.description.oaCategoryGreen (AAM)en_US
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