Abstract
Conventional end-to-end distortion models measure the overall distortion based on independent estimation of the source distortion and channel distortion. However, they are not correlating well with perceptual characteristics in which a strong dependency exists among the source distortion, channel distortion and video content. As most compressed videos are represented to human users, perception-based end-to-end distortion model should be developed for error resilient video coding. In this paper, we propose a SSIM-based end-to-end distortion model to optimally estimate the overall perceptual distortion due to quantization, error concealment and error propagation. Experiments show that the proposed end-to-end distortion model can bring significant visual quality improvement for H.264/AVC video coding over packet-switched networks.
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Zhang, L., Peng, Q., Wu, X. (2013). SSIM-Based End-to-End Distortion Model for Error Resilient Video Coding over Packet-Switched Networks. In: Li, S., et al. Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35725-1_28
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DOI: https://doi.org/10.1007/978-3-642-35725-1_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35724-4
Online ISBN: 978-3-642-35725-1
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