Of itu-t sg16 wp3 and iso/iec jtc1/SC29/WG11


JCTVC-O0284 Non-SCE4: Verification of on Weighted Prediction Based Color Gamut Scalability [E. Alshina (Samsung)] [late]



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JCTVC-O0284 Non-SCE4: Verification of on Weighted Prediction Based Color Gamut Scalability [E. Alshina (Samsung)] [late]
JCTVC-O0195 Non-SCE4: Picture and region adaptive gain-offset prediction for color space scalability [C. Auyeung (Sony)]

This contribution presents the results of adding picture and region adaptation to the gain-offset prediction from JCVC-L0224 for color gamut scalable video coding. The coefficients of the piecewise linear predictor is updated at the enhancement layer P picture and applied to the enhancement P picture and the B pictures following the P picture before the next Picture in encoding order. It is reported that compared with the SCE4 anchor, for 10-bit base layer all intra test case, the proposed method resulted in an average BD rate of -7.7%, -6.2%, -9.8% for Y, U, V, respectively. For 8-bit base layer all intra test case, the proposed method resulted in an average BD rate of -6.9%,  5.6%,  10.1% for Y, U, V, respectively. For 10 bit base layer random-access test case, the proposed method resulted in an average BD rate of -3.3%,  0.9%, -4.2% for Y, U, V, respectively. For 8-bit base layer random access test case, the proposed method resulted in an average BD rate of -3.0%, -0.4%, -3.7% for Y, U, V, respectively.

Adaptation per picture, or with 4 or 16 rectangular regions

Would require specific inter-layer processing, and signalling in “APS” style

Better performance than SCE4 5.1 (i.e. the upcoming reference) for AI, not for random access

Would have additional encoder latency (same as WP approach), and potentially more encoder complexity, and defining additional signalling and inter-layer processing at the decoder. Compared to this, the additional compression benefit appears relatively low.

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