This notion in turn can be extended to measures of algorithmic distance, one example being normalized compression distance (NCD) [37]. This however requires a separate compression for each comparison event, and has been rarely applied to visual materials [38]. Pairwise image comparison frameworks ...
we propose a computationally simple, transparent method for modeling aesthetic complexity as a multidimensional algorithmic phenomenon, which enables the systematic analysis of large image datasets. The approach captures visual family resemblance
This notion in turn can be extended to measures of algorithmic distance, one example being normalized compression distance (NCD) [37]. This however requires a separate compression for each comparison event, and has been rarely applied to visual materials [38]. Pairwise image comparison frameworks ...