Efficient use of local edge histogram descriptor
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Sharp or smooth?: comparing the effects of quantization vs. frame rate for streamed video
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User perception of adapting video quality
International Journal of Human-Computer Studies
A Study of Objective Quality Assessment Metrics for Video Codec Design and Evaluation
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
On combining temporal scaling and quality scaling for streaming MPEG
Proceedings of the 2006 international workshop on Network and operating systems support for digital audio and video
Subjective impression of variations in layer encoded videos
IWQoS'03 Proceedings of the 11th international conference on Quality of service
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
MPEG-7 visual motion descriptors
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Transport and Signaling of SVC in IP Networks
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Fine-grained scalable streaming from coarse-grained videos
Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Subjective evaluation of critical success factors for a QoE aware adaptive system
Computer Communications
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Multi-dimensional video scalability as defined in H.264/SVC is a promising concept to efficiently adapt encoded streams to individual device capabilities and network conditions. However, we still lack a thorough understanding of how to automate scaling procedure in order to achieve an optimal quality of experience (QoE) for end uses. In this paper we present and discuss the results of a subjective quality assessment we performed on mobile devices to investigate the effects of multi-dimensional scalability on human quality perception. Our study reveals that QoE degrades nonmonotonically with bitrate and that scaling order preferences are content-dependent. We confirm previous studies which found common objective metrics to fail for scalable content, but we also show that even scalability-aware models perform poor. Our results are supposed to help improving the design of quality metrics and adaptive network services for scalable streaming applications.