JOURNAL ARTICLE

Generalized Source-Channel Prediction for Error Resilient Video Coding

Abstract

This paper proposes an error-resilient modification of conventional (encoder-reconstruction based) prediction framework in video coding. The technique is called generalized source-channel prediction (GSCP) and generates a prediction reference for the next frame as a weighted sum of the current frame reconstruction and the prediction reference of the last frame. Compared to existing leaky prediction, GSCP achieves better coding efficiency in single layer video coding, and specifically better exploits the robustness benefits offered by Intra coded macroblocks in past frames so as to reduce error propagation in the future frames. Significant performance gains were observed in simulations and support the effectiveness of GSCP.

Keywords:
Computer science Encoder Coding (social sciences) Robustness (evolution) Coding tree unit Mean squared prediction error Reference frame Algorithm Propagation of uncertainty Exploit Context-adaptive binary arithmetic coding Algorithmic efficiency Intra-frame Channel code Decoding methods Variable-length code Artificial intelligence Frame (networking) Data compression Telecommunications Mathematics Statistics

Metrics

9
Cited By
0.96
FWCI (Field Weighted Citation Impact)
16
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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