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

Stohr, Denny and Wilk, Stefan and Toteva, Iva and Effelsberg, Wolfgang and Steinmetz, Ralf (2016):
Context not Content: A Novel Approach to Real-Time User-Generated Video Composition.
In: 2016 IEEE International Symposium on Multimedia (ISM), San Jose, USA, 11.-13. Dec., DOI: 10.1109/ISM.2016.0021,
[Online-Edition: https://ieeexplore.ieee.org/abstract/document/7823588],
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Stohr, Denny and Wilk, Stefan and Toteva, Iva and Effelsberg, Wolfgang and Steinmetz, Ralf
Title: Context not Content: A Novel Approach to Real-Time User-Generated Video Composition
Language: English
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.

Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
20 Department of Computer Science
20 Department of Computer Science > Distributed Multimedia Systems
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C3: Content-centred perspective
Event Title: 2016 IEEE International Symposium on Multimedia (ISM)
Event Location: San Jose, USA
Event Dates: 11.-13. Dec.
Date Deposited: 09 May 2017 07:39
DOI: 10.1109/ISM.2016.0021
Official URL: https://ieeexplore.ieee.org/abstract/document/7823588
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