Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding

arXiv:2402.08919v1 Announce Type: cross
Abstract: Quantifying the degree of similarity between images is a key copyright issue for image-based machine learning. In legal doctrine however, determining the degree of similarity between works requires subjective analysis, and fact-finders (judges and juries) can demonstrate considerable variability in these subjective judgement calls. Images that are structurally similar can be deemed dissimilar, whereas images of completely different scenes can be deemed similar enough to support a claim of copying. We seek to define and …

abstract analysis arxiv auto complexity copyright cs.cv cs.lg encoding image images issue judges key legal machine machine learning type