Tap-constrained convolutional cross-component model prediction

Abstract

Tap-constrained convolutional cross-component model (CCCM) prediction enables hardware coder implementations of CCCM prediction by limiting the number of taps used to predict chroma samples while maintaining accuracy in the prediction. During encoding, a current luma sample of a block is identified. A number of taps to use for predicting a chroma sample associated with the current luma sample is determined based on a size of the block and/or whether the block is downsampled. The chroma sample is predicted using a prediction model limited to the number of taps and then encoded to an encoded bitstream. During decoding, a current luma sample of a block and a number of taps for predicting a chroma sample associated with the current luma sample are decoded from an encoded bitstream. The chroma sample is predicted using a prediction model limited to the number of taps and then output within an output video stream.