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Context not Content: A Novel Approach to Real-Time User-Generated Video Composition

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.-13. Dec.)
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
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.-13. Dec.
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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