You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Standard convolution takes an h_{i}\times w_{i}\times d_{i} input tensor L_{i}, and applies convolutional kernel K\in{\cal R}^{k\times k\times d_{i}\times d_{j}} to produce an h_{i}\times w_{i}\times d_{j} output tensor L_{j}.Standard convolutional layers have the computational cost of h_{i}\cdot w_{i}\cdot d_{i}\cdot d_{j}\cdot k\cdot k.

Question: Given an input tensor of size (224, 224, 16), a convolution layer transforms the input to an output tensor of size (224, 224, 8), what would the computational cost of this operation  be according to this paper?
with hi = 224, wi = 224, di = 16 and dj = 8, the computation cost of this operation would be 224 × 224 × 16 × 8 × k × k = 6,422,528 × k^2.