Articles by Alessandro Codello

This article proposes a quantitative approach to the stylistic analysis of ancient Roman Corinthian capitals through computational image processing. The study focuses on the evolution of the canonical Corinthian capital produced in Rome and its related contexts between the late first century BCE and the fourth century CE, a period during which significant formal transformations affected the morphology of the acanthus leaves and the overall decorative system. While traditional archaeological analysis has identified several diagnostic features for classification and dating, these assessments have largely relied on the qualitative expertise of specialists. In this work we introduce a basic quantitative method to estimate the curvature of two-dimensional representations of capitals, such as archaeological drawings. The method extracts geometric information from the contours of decorative elements without requiring training datasets or complex machine-learning procedures. By analysing the sharpness and curvature of ornamental features, the approach provides a quantitative descriptor of stylistic change over time. The results demonstrate that this method can distinguish capitals belonging to different chronological phases and therefore has the potential to support archaeological classification, facilitate the study of large corpora of artifacts, and contribute to the development of computational tools for cultural heritage research and documentation.

The article introduces the concept of ‘Long Data’ as an innovative approach to enhancing the cultural heritage preserved in historical archives. This concept distinguishes itself from Big Data by focusing on the deep historical context found in meticulously preserved archives, revealing valuable insights into cultural heritage. By using new Artificial Intelligence technologies in harmony with traditional archival methods, Long Data aims to analyze, transcribe, and model historical data on an unprecedented scale. This approach promises a more comprehensive understanding of history, improving studies on social and cultural evolution. A key example of Long Data’s application is the Venice State Archive (ASVe), which holds documents dating back over a millennium. The initiative seeks multidisciplinary collaboration to make this vast archive accessible, thereby safeguarding cultural heritage and paving the way for a revolution in historical research.