ERROR RESILIENCE VIDEO CODING IN H.264 ENCODER WITH POTENTIAL DISTORTION TRACKING (MA-L5)

Author(s) : Yuan Zhang (Chinese Academy of Sciences, China) Wen Gao (Chinese Academy of Sciences, China) Huifang Sun (Mitsubishi Electric Research Laboratories, USA) Qingming Huang (Chinese Academy of Sciences, China) Yan Lu (Microsoft Research Asia, China)

Abstract : This paper presents an efficient rate-distortion (RD) model for H.264 video encoder in packet loss environment. The encoder keeps tracking the potential error-propagated distortion on a block basis while taking into account the source characteristics, network conditions as well as the error concealment method. Towards this goal, the end-to-end distortion invoked in the proposed RD model is estimated according to the potential error-propagated distortion stored in a distortion map. The distortion map in terms of each frame is derived after the frame is encoded, which can be used for the RD-based encoding of the subsequent frames. The channel distortion has been considered in the proposed RD model, and therefore the new Lagrange parameter is derived. Moreover, the practical implementation of the proposed RD model in H.264 encoder is also presented. Compared to the error robust rate-distortion optimization method in H.264 test model, the proposed model performs better in both transmission efficiency and computational complexity.

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