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.

Inventor(s): Xiang Li, In Suk Chong, Debargha Mukherjee, Cheng Chen, Yaowu Xu, Jingning Han

CPC Classification: H04N19/117 (Filters, e.g. for pre-processing or post-processing (sub-band filter banks ))

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