Optimal adaptation decision-taking for terminal and network quality-of-service
IEEE Transactions on Multimedia
Bit-rate control using piecewise approximated rate-distortion characteristics
IEEE Transactions on Circuits and Systems for Video Technology
Constant quality constrained rate allocation for FGS-coded video
IEEE Transactions on Circuits and Systems for Video Technology
Multilayer adaptation for MGS-based SVC bitstream
MM '08 Proceedings of the 16th ACM international conference on Multimedia
SVC adaptation: Standard tools and supporting methods
Image Communication
Optimized bit extraction using distortion modeling in the scalable extension of H.264/AVC
IEEE Transactions on Image Processing
Enhancing scalability in on-demand video streaming services for P2P systems
Advances in Multimedia
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Scalable video coding (SVC) is a new video coding format which provides scalability in three-dimensional (spatio-temporal-SNR) space. In this paper, we focus on the adaptation in SNR dimension. Usually, an SVC bitstream may contain multiple spatial layers, and each spatial layer may be enhanced by several FGS layers. To meet a bitrate constraint, the fine-grained scalability (FGS) data of different spatial layers can be truncated in various manners. However, the contributions of FGS layers to the overall/collective video quality are different. In this work, we propose an optimized framework to control the SNR scalability across multiple spatial layers. Our proposed framework has the flexibility in allocating the resource (i.e., bitrate) among spatial layers, where the overall quality is defined as a function of all spatial layers' qualities and can be modified on the fly.