Tap-constrained convolutional cross-component model prediction

A non-transitory computer readable medium having stored thereon an encoded bitstream, wherein the encoded bitstream is configured for decoding by operations comprising:

• decoding, from the encoded bitstream, a current luma sample of a block and a number of taps to use for predicting a chroma sample associated with the current luma sample, wherein the number of taps is based on one or more of a size of the block or whether the block is downsampled, and wherein taps of the number of taps are convolutional cross-component model prediction filter coefficients;
• predicting the chroma sample using a prediction model limited to the number of taps;
• and
• outputting the chroma sample within an output video stream.

An apparatus for tap-constrained convolutional cross-component model prediction, the apparatus comprising:

• a memory;
• and
• a processor configured to execute instructions stored in the memory to:
• predict, using a prediction model limited to a number of taps, a chroma sample associated with a current luma sample of a block, wherein the number of taps is based on one or more of a size of the block or whether the block is downsampled, and wherein taps of the number of taps are convolutional cross-component model prediction filter coefficients;
• and
• output the chroma sample within an output video stream.