SVC adaptation: Standard tools and supporting methods
Image Communication
Quality modeling for the medium grain scalability option of H.264/SVC
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
A Fast Rate-Adaptation Algorithm for Robust Wireless Scalable Streaming Applications
WIMOB '09 Proceedings of the 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
IEEE Transactions on Multimedia
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
Constant quality constrained rate allocation for FGS-coded video
IEEE Transactions on Circuits and Systems for Video Technology
Rate Control for H.264 Video With Enhanced Rate and Distortion Models
IEEE Transactions on Circuits and Systems for Video Technology
Optimized Rate-Distortion Extraction With Quality Layers in the Scalable Extension of H.264/AVC
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
Rate Control of H.264/AVC Scalable Extension
IEEE Transactions on Circuits and Systems for Video Technology
Unequal Error Protection for Robust Streaming of Scalable Video Over Packet Lossy Networks
IEEE Transactions on Circuits and Systems for Video Technology
Joint Rate Allocation for Multiprogram Video Coding Using FGS
IEEE Transactions on Circuits and Systems for Video Technology
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In the delivery of video services like video on-demand, IP-TV, sport broadcasting, as well as real-time streaming, the end-user expectation is to receive the best feasible quality independently of the particular video complexity, even in the presence of packet losses. In this scenario, rate adaptation is required to optimize the overall quality, whereas fairness is an important issue that has to be addressed. In this paper we propose a multi-stream rate adaptation framework with reference to the scalable video coding (SVC) extension of the H.264/AVC standard with medium grain scalability (MGS). We first define a general discrete multi-objective problem with the aim to maximize the sum of assigned rates, while minimizing the differences among the expected distortions, under a total bit-rate constraint. A single-objective problem formulation is then derived by applying a continuous relaxation. Finally, a simplified continuous semi-analytical model that accurately estimates the rate-distortion relationship for both error-free channel and packet-erasure channel is also proposed, which allows us to derive an optimal and low-complexity procedure to solve the relaxed problem. Unequal erasure protection (UXP) is also considered and designed to suitably shape the rate-distortion relationship for different values of RTP packet-loss rate. The numerical results show the goodness of our framework in terms of error gap between the relaxed and its related discrete solution, and the significant performance improvement achieved with respect to an equal-rate adaptation scheme.