IMAGE ANALYSIS OF FINE ARTS AND CULTURAL HERITAGE

Anno accademico
2023/2024 Programmi anni precedenti
Titolo corso in inglese
IMAGE ANALYSIS OF FINE ARTS AND CULTURAL HERITAGE
Codice insegnamento
PHD189-1 (AF:497966 AR:279258)
Modalità
In presenza
Crediti formativi universitari
2
Livello laurea
Corso di Dottorato (D.M.45)
Settore scientifico disciplinare
INF/01
Periodo
Annuale
Anno corso
1
Sede
VENEZIA
Spazio Moodle
Link allo spazio del corso
This short course is a part of the Ph.D. program in Computer Science. It aims at the exploration of the diverse tasks and deep-learning techniques utilized in AI research for visual art understanding.
Students will be able to demonstrate a comprehensive understanding of the tasks used in AI research for understanding visual art. They will gain familiarity with state-of-the-art approaches, key concepts, and tools employed in the automatic analysis of fine art and cultural heritage.
Foundations of machine learning. Basic knowledge deep learning. Use of computational thinking. Python Coding.
The program is provisional and is subject to change. Its contents may include a selection from the following potential topics:
- Main research trends, art collections as data sources, distant viewing, and close reading
- Automated classification of artworks based on artist, style, genre
- Utilization of deep learning methodologies for detecting objects (people, faces, motifs, objects, materials, characters) within artworks
- Retrieving visually linked images in painting collections using deep learning approaches.
- Visual question-answering methods and generating captions for artworks.
- Creation of art through Generative Adversarial Networks (GANs).



Scientific papers
A presentation of a scientific article or a software development project related to the topics of the course
Theoretical lessons describe the various concepts and methods; active learning and open discussions.
Inglese
orale
Programma definitivo.
Data ultima modifica programma: 29/08/2023