Modeling of transmission-loss-induced distortion in decoded video

This paper analyzes the distortion in decoded video caused by random packet losses in the underlying transmission network. A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based moti...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2006-06, Vol.16 (6), p.716-732
Main Authors: Yao Wang, Zhenyu Wu, Boyce, J.M.
Format: Article
Language:English
Subjects:
Applied sciences
Automatic voltage control
Coders
Coding standards
Deblocking filter
Decoding
Detection, estimation, filtering, equalization, prediction
Distortion
Encoders
end-to-end distortion
error concealment
error propagation
Exact sciences and technology
Filtering
Filters
Frames
H.264/AVC
Information, signal and communications theory
Intelligent networks
Interpolation
intraprediction
Mathematical models
Motion compensation
packet loss
Predictive models
Propagation losses
Signal and communications theory
Signal, noise
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Temporal logic
Transmission and modulation (techniques and equipments)
Video coding
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Summary:This paper analyzes the distortion in decoded video caused by random packet losses in the underlying transmission network. A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based motion-compensated prediction framework (including the H.261/263/264 and MPEG1/2/4 video coding standards) and allows for any motion-compensated temporal concealment method at the decoder. The model explicitly considers the interpolation operation invoked for motion-compensated temporal prediction and concealment with sub-pel motion vectors. The model also takes into account the two new features of the H.264/AVC standard, namely intraprediction and inloop deblocking filtering. A comparison with simulation data shows that the model is very accurate over a large range of packet loss rates and encoder intrablock rates. The model is further adapted to characterize the channel distortion in subsequent received frames after a single lost frame. This allows one to easily evaluate the impact of a single frame loss.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2006.875203