Rate and distortion modeling of medium grain scalable video coding

TitleRate and distortion modeling of medium grain scalable video coding
Publication TypeConference Paper
Year of Publication2008
AuthorsMansour, H., V. Krishnamurthy, and P. Nasiopoulos
Conference NameImage Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Pagination2564 -2567
Date Publishedoct.
Keywordscross layer optimization, distortion, distortion prediction models, mean absolute difference, medium grain scalable video coding, mobile video encoders, optimisation, QoS, quality of service, quantization parameter, real-time rate, real-time systems, video coding, video communication, video frame, video streaming, video streams, wireless video communication

Scalability in video coding is becoming the primary choice for providing quality of service (QoS) guarantees in wireless video communication. In this paper, we develop real-time rate and distortion prediction models for medium grained scalable (MGS) coded video streams. These models allow mobile video encoders to predict the packet size and corresponding distortion of a video frame using only the mean absolute difference (MAD) of the motion prediction and the quantization parameter (QP). The prediction of rate and distortion measures can be used in devices with cross layer optimization capabilities to choose the combination of base and enhancement layer packets that deliver the best picture quality given channel quality information. Performance evaluations demonstrate that our models accurately predict the size and distortion of base and enhancement layer MGS packets.


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