International Workshop on
Fine Art Pattern Extraction and Recognition
January 11, 2021 | Virtual
The workshop will be hosted at Milan Congress Center (Mi.Co.), which is located in Piazzale Carlo Magno 1, Milan (more information are available at the main conference website ). The conference will be held entirely online.
ICPR 2020 announcement: the conference will be virtual
The COVID-19 pandemic has imposed unprecedented changes in our personal and professional lives. After much consideration, the General Chairs and Organizing Committee for ICPR 2020 have decided to take the conference fully virtual.
Paper submission is now open through EasyChair
Please, note that due to the low acceptance rate, papers not accepted for presentation at the ICPR 2020 general session and fitting FAPER topics could be submitted here.
ICPR 2020 new schedule in relation to CORONAVIRUS
Given the COVID-19 situation in Italy and all over the globe, the ICPR 2020 Chairs have decided to shift the Conference schedule to 10-15 January 2021.
Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture.
The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites.
The aim of the workshop is to provide an international forum for those who wish to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. The workshop solicits contributions from diverse areas such as pattern recognition, computer vision, artificial intelligence and image processing.