User perception of adapting video quality
International Journal of Human-Computer Studies
Pick your layers wisely - a quality assessment of H.264 scalable video coding for mobile devices
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Subjective evaluation of scalable video coding for content distribution
Proceedings of the international conference on Multimedia
Improving performance for multimedia traffic with distributed dynamic QoS adaptation
Computer Communications
In-network adaptation of H.264/SVC for HD video streaming over 802.11g networks
Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video
Design, optimization and performance evaluation of a content distribution overlay for streaming
Computer Communications
Adaptation strategies for MGS scalable video streaming
Image Communication
Subjective Quality Evaluation via Paired Comparison: Application to Scalable Video Coding
IEEE Transactions on Multimedia
Quality adaptation in p2p video streaming based on objective qoe metrics
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part II
A network management algorithm and protocol for improving QoE in mobile IPTV
Computer Communications
Adaptable system based on Scalable Video Coding for high-quality video service
Computers and Electrical Engineering
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For many years video content delivery has established itself as the killer application. Improving QoE on adaptive streaming is focusing many efforts in the quest for optimized methods and metrics to allow a QoE driven adaptation. Questions such as whether adaptive systems based on Scalable Video Coding improve subjective quality and in which situations or to what degree are still open issues. Tolerance and indifference thresholds for each type of content, conditions or viewer category, with regard to adaptive systems are critical success factors that are yet unresolved. We compare the performance of a complete adaptive system with the traditional, i.e. non-adaptive, approach in subjective terms. Results of surveying 75 participants show that the adaptation improves QoE under most of the evaluated conditions. Tolerance thresholds for triggering adaptation events have been identified. Users accustomed to Internet video are more critical than users that only watch TV. The under 35year old subset among the available population is generally more satisfied with the adaptive system than the older subset.