Weighted sample prediction for geometric partitioning mode

An apparatus, comprising:

• processing circuitry configured to:
• decode prediction information of a current block in a coded video bitstream, the prediction information indicating a geometric partitioning mode (GPM), the current block being partitioned into two partitions in the GPM mode, and each sample of the current block being associated with a respective predictor;
• determine a weighting index for a sample of the current block based on a position of the sample, an angle index defining a split boundary between the partitions of the current block, and a distance index defining the split boundary between the partitions of the current block;
• calculate a weighting factor based on the weighting index of the sample according to an equation that converts the weighting index to the weighting factor, the equation including a right shift operation on a sum of the weighting index and an offset value;
• and
• reconstruct the sample based on the weighting factor and the predictor corresponding to the sample.

A non-transitory computer-readable storage medium storing a program executable by at least one processor to perform:

• decoding prediction information of a current block in a coded video bitstream, the prediction information indicating a geometric partitioning mode (GPM), the current block being partitioned into two partitions in the GPM mode, and each sample of the current block being associated with a respective predictor;
• determining a weighting index for a sample of the current block based on a position of the sample, an angle index defining a split boundary between the partitions of the current block, and a distance index defining the split boundary between the partitions of the current block;
• calculating a weighting factor based on the weighting index of the sample according to an equation that converts the weighting index to the weighting factor, the equation including a right shift operation on a sum of the weighting index and an offset value;
• and
• reconstructing the sample based on the weighting factor and the predictor corresponding to the sample.