A Theoretical Framework for End-to-End Video Quality Prediction of MPEG-based Sequences
ICNS '07 Proceedings of the Third International Conference on Networking and Services
Evaluation of temporal variation of video quality in packet loss networks
Image Communication
Subjective Quality Optimized Intra Mode Selection for H.264 I Frame Coding Based on SSIM
ICIG '11 Proceedings of the 2011 Sixth International Conference on Image and Graphics
Joint Source-Channel Rate-Distortion Optimization for H.264 Video Coding Over Error-Prone Networks
IEEE Transactions on Multimedia
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
SSIM-Based Perceptual Rate Control for Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
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The estimation of end-to-end distortion plays a key role in error-resilient video coding and perceptual quality control. The traditional end-to-end distortion estimation methods are mainly based on the MSE or MAD values, which sometimes poorly reflect subjective perception. This paper proposes a novel method to model the end-to-end quality degradation based on the SSIM index. Using factors extracted from the encoder, we build the models by considering the source distortion, the error-propagated distortion and the error-concealment distortion. These models can be used in joint source-channel coding with rate-distortion optimization as well as error-resilient video coding based on perception.