JOURNAL ARTICLE

Error-resilient video coding using multiple description motion compensation

Yao WangShunan Lin

Year: 2002 Journal:   IEEE Transactions on Circuits and Systems for Video Technology Vol: 12 (6)Pages: 438-452   Publisher: Institute of Electrical and Electronics Engineers

Abstract

A new approach for multiple description video coding is proposed. It employs a second-order predictor for motion-compensation, which predicts a current frame from two previously coded frames. The coder generates two descriptions, containing the coded even and odd frames, respectively. When only a single description (say, that containing even frames) is received, the decoder can only use previous even frames for prediction. The mismatch between the predicted frames at the encoder and decoder is explicitly coded to avoid error propagation in the ideal MD channels, where a description is either received intact or lost completely. By using the second-order predictor and coding the mismatch signal, one can also suppress error propagation in packet lossy networks where packets in either description can be lost. The predictor and the mismatch signal quantizer can be varied to achieve a wide range of tradeoffs between coding efficiency and error resilience.

Keywords:
Encoder Computer science Motion compensation Propagation of uncertainty Algorithm Coding (social sciences) Lossy compression Multiple description coding Coding tree unit Decoding methods Network packet Reference frame Coding gain Artificial intelligence Frame (networking) Mathematics Telecommunications Statistics Computer network

Metrics

203
Cited By
17.71
FWCI (Field Weighted Citation Impact)
44
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
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