We can define a measure on $C[0,1]$ by viewing a continuous function as a path of 1-dimensional Brownian motion. This is called classical Wiener measure. I am wondering if there is a generalization to function space of higher dimension?
I knew from Wikipedia that there is something called abstract Wiener space, which uses a canonical Gaussian cylinder set measure. However I do not know what is the "quotient inner product" mentioned in the construction. Could anyone explain for me what is a quotient inner product, and how does it coincide with the classical case?
Your question is ill-posed as is. There exists probability measures on $C([0,1]^n)$, for example the unit Dirac mass at the constant function equal to zero. It would help if you said which properties you would like your measure to satisfy. Note that the natural generalization of Brownian motion to higher dimensional domains is the so-called Gaussian free field but it is a measure supported on generalized functions/Schwartz distributions instead of continuous functions.