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Evaluating of two unknown phase shifts is fulfilled by using the interframe correlation between interferograms.
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In all those studies, the interframe correlation has been considered "locally", that is, between only two (or three for matrix quantization) consecutive frames.
Also, for the lower range of tested bit rates (i.e., below 600 700 bits/s), the method compares favorably with transform coding techniques that also exploit the interframe correlation of LSFs across many frames.
Our findings do not corroborate with those, and we attribute this to visual attention mechanisms as it has also been shown that the mechanisms of visual attention are much more significant for images than for video due to the interframe correlation and shorter viewing time [26].
Correlations analyses were performed by using the Spearman correlation tests.
Correlation analysis using the Pearson product-moment correlation.
Correlation was assessed using the Pearson product-moment correlation coefficient.
(A) The normalized interframe correlation among the first 100 frames extracted from the original video sequence Taxi and the first 100 frames extracted from the same sequence affected by 6% packet loss.
A Discrete Cosine model of the time trajectory of the LSF vectors is then applied to each segment to capture the LSF interframe correlation over the whole segment.
This is comparable to the average phoneme rate and thus makes it possible to exploit most of the existing interframe correlation [15].
Thanks to this approach, the non-negligible interframe correlation is taken into account, which is not the case when just a gain is used.
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