%0 Conference Paper %A Ozcinar, Cagri %A Ekmekcioglu, Erhan %A Kondoz, Ahmet %D 2016 %T Quality-aware adaptive delivery of multi-view video %U https://repository.lboro.ac.uk/articles/conference_contribution/Quality-aware_adaptive_delivery_of_multi-view_video/9464243 %2 https://repository.lboro.ac.uk/ndownloader/files/17087972 %K 3D %K Multi-view video %K Scalable coding %K QoE %K Adaptation of decision strategy %K Analysis of dynamic network %X Advances in video coding and networking technologies have paved the way for the Multi-View Video (MVV) streaming. However, large amounts of data and dynamic network conditions result in frequent network congestion, which may prevent video packets from being delivered on time. As a consequence, the 3D viewing experience may be degraded signifi- cantly, unless quality-aware adaptation methods are deployed. There is no research work to discuss the MVV adaptation of decision strategy or provide a detailed analysis of a dynamic network environment. This work addresses the mentioned issues for MVV streaming over HTTP for emerging multi-view displays. In this research work, the effect of various adaptations of decision strategies are evaluated and, as a result, a new quality-aware adaptation method is designed. The proposed method is benefiting from layer based video coding in such a way that high Quality of Experience (QoE) is maintained in a cost-effective manner. The conducted experimental results on MVV streaming using the proposed strategy are showing that the perceptual 3D video quality, under adverse network conditions, is enhanced significantly as a result of the proposed quality-aware adaptation. %I Loughborough University