Study of subjective and objective quality assessment of video
IEEE Transactions on Image Processing
A Joint Source-Channel Video Coding Scheme Based on Distributed Source Coding
IEEE Transactions on Multimedia
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Modeling of transmission-loss-induced distortion in decoded video
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
SSIM-Based Perceptual Rate Control for Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Channel Distortion Modeling for Multi-View Video Transmission Over Packet-Switched Networks
IEEE Transactions on Circuits and Systems for Video Technology
SSIM-Based error resilient video coding over packet-switched networks
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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The visual quality is a critical factor in prediction video coding over packet-switched networks. However, the traditional MSE-based error resilient video coding cannot correlate well with the perceptual characteristics of the human visual system (HVS). This paper proposes a structural similarity (SSIM) based error resilient video coding scheme to improve the visual quality of compressed videos over packet-switched networks. In the proposed scheme, a SSIM-based end-to-end distortion model is developed to estimate the perceptual distortion due to quantization, error concealment, and error propagation. Based on this model, an adaptive mode selection strategy is presented to enhance the communication robustness of compressed videos. Experiments show that the proposed scheme significantly improves the visual quality for H.264/AVC video coding over packet-switched networks.