In ECM-6.0, convolutional cross-component model (CCCM) is applied to predict the chroma samples from reconstructed luma samples with downsampling. Moreover, the CCCM extends the 2-parameter linear model in the CCLM to 7-tap non-linear model. In this proposal, CCCM using non-downsampled luma samples is proposed where the chroma samples are directly predicted from the reconstructed luma samples, i.e., without downsampling. The proposed method was implemented on top of ECM-6.0, and the simulation results are summarized as follows: