Backward Drift Estimation with Application to Quality Layer Assignment in H.264/AVC Based Scalable Video Coding

We present an approach for accurate estimation of the reconstruction distortion in SNR scalable video coding with drift. Based on a linear model of predictive video coding, we derive an algorithm to quantify spatio-temporal drift properties subject to prediction structure and motion information. Thi...

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Bibliographic Details
Published in2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 1; pp. I-653 - I-656
Main Authors Rusert, T., Ohm, J. -R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
Automatic voltage control
Bit rate
Error propagation
H.264/AVC
hierarchical B pictures
Predictive models
quality layers
Quantization
Rate-distortion
Signal resolution
Static VAr compensators
Streaming media
SVC
Testing
Video coding
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Summary:We present an approach for accurate estimation of the reconstruction distortion in SNR scalable video coding with drift. Based on a linear model of predictive video coding, we derive an algorithm to quantify spatio-temporal drift properties subject to prediction structure and motion information. This allows for low-complex estimation of the reconstruction distortion on a per-block basis. The accuracy of the distortion estimation is experimentally verified. We then utilize the method for quality layer assignment within the framework of H.264/AVC scalable video coding (SVC), which is currently under standardization. The quality layers allow for bit stream truncation in a rate-distortion optimized sense. Compared to the quality layer assignment as implemented in the SVC test model, use of backward drift estimation allows for achieving equivalent coding efficiency with reduced complexity.
ISBN:9781424407279
1424407273
ISSN:1520-6149
DOI:10.1109/ICASSP.2007.365992