Stohr, Denny ; Wilk, Stefan ; Toteva, Iva ; Effelsberg, Wolfgang ; Steinmetz, Ralf (2016)
Context not Content: A Novel Approach to Real-Time User-Generated Video Composition.
2016 IEEE International Symposium on Multimedia (ISM). San Jose, USA (11.12.2016-13.12.2016)
doi: 10.1109/ISM.2016.0021
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Instant sharing of user-generated video recordings has become a widely used service on platforms such as YouNow. Yet, it still poses technical challenges, as mobile upload speed and capacities are limited. One proposed solution to address these issues is video composition. It allows switching between multiple video streams-selecting the best source for a given time-for composing a live video of a better overall quality for viewers. Previous approaches require visual analysis of the video streams, usually limiting the scalability of the system. In contrast, our work allows the stream selection to be realized solely on context information, based on video-and service-quality aspects from sensor and network measurements. The implemented monitoring service for context-aware upload of video streams is evaluated in varying network conditions, with diverse user behavior, including camera shaking and user mobility. We show that a higher efficiency for video upload as well as QoE for viewers can be achieved.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2016 |
Autor(en): | Stohr, Denny ; Wilk, Stefan ; Toteva, Iva ; Effelsberg, Wolfgang ; Steinmetz, Ralf |
Art des Eintrags: | Bibliographie |
Titel: | Context not Content: A Novel Approach to Real-Time User-Generated Video Composition |
Sprache: | Englisch |
Publikationsjahr: | 10 Dezember 2016 |
Veranstaltungstitel: | 2016 IEEE International Symposium on Multimedia (ISM) |
Veranstaltungsort: | San Jose, USA |
Veranstaltungsdatum: | 11.12.2016-13.12.2016 |
DOI: | 10.1109/ISM.2016.0021 |
URL / URN: | https://ieeexplore.ieee.org/abstract/document/7823588 |
Kurzbeschreibung (Abstract): | Instant sharing of user-generated video recordings has become a widely used service on platforms such as YouNow. Yet, it still poses technical challenges, as mobile upload speed and capacities are limited. One proposed solution to address these issues is video composition. It allows switching between multiple video streams-selecting the best source for a given time-for composing a live video of a better overall quality for viewers. Previous approaches require visual analysis of the video streams, usually limiting the scalability of the system. In contrast, our work allows the stream selection to be realized solely on context information, based on video-and service-quality aspects from sensor and network measurements. The implemented monitoring service for context-aware upload of video streams is evaluated in varying network conditions, with diverse user behavior, including camera shaking and user mobility. We show that a higher efficiency for video upload as well as QoE for viewers can be achieved. |
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation 20 Fachbereich Informatik 20 Fachbereich Informatik > Distributed Multimedia Systems DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C3: Inhaltszentrische Sicht |
Hinterlegungsdatum: | 09 Mai 2017 07:39 |
Letzte Änderung: | 15 Apr 2020 11:02 |
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