Rate Distortion Analysis of Leaky Prediction Layered Video Coding Using Quantization Noise Modeling (MP-P2)

Author(s) : Yuxin Liu (Purdue University, USA) Josep Prades-Nebot (Universidad Politecnica de Valencia, Spain) Paul Salama (Indiana University-Purdue University Indianapolis, USA) Edward Delp (Purdue University, USA)

Abstract : Unlike conventional layered scalable video coding, leaky prediction layered video coding (LPLC) introduces a leaky factor \alpha, valued between 0 and 1, to partially include the enhancement layer in the motion compensation loop, hence obtaining a trade-off between coding efficiency and error resilience performance. In this paper, we exploit quantization noise modelling to theoretically analyze the rate distortion performance of LPLC. An alternative block diagram of LPLC is first developed, which significantly simplifies the theoretical analysis. Closed form expressions, as a function of the leaky factor, are derived for two scenarios, where drift error occurs in the enhancement layer and no drift occurs within the motion compensation loop. Theoretical results are evaluated with respect to the leaky factor, showing that a leaky factor valued 0.4-0.6 is a good choice in terms of the overall rate distortion performance of LPLC.

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