Special issue on Methodologies and Applications of Image Understanding in Cultural and Artistic Heritage
SUBMISSION DEADLINE: October 31, 2024
GUEST EDITORS: Dr. Eva Cetinic and Dr. Sinem Aslan
Dear Colleagues,
This Special Issue is dedicated to the various challenges and possibilities, both in terms of methodology and application, that emerge when computational methods are used to study, analyze, and interpret images in the context of art and culture.
What does it mean to understand an image? The application of computational methods, such as object detection, segmentation, or classification, to images is usually motivated by the need to solve a particular problem. In the context of computer vision and deep learning, these methods are usually applied to general-purpose image datasets (ImageNet, MS Coco, etc.) or domain-specific image datasets (medical, satellite, traffic, etc.). Images related to art or cultural heritage may also represent another type of domain-specific image dataset. However, understanding an image becomes a much more complex task if we aim to integrate computational approaches of image understanding with the methodological and theoretical frameworks of traditional disciplines dedicated to the study of images in art and culture (e.g., art history and cultural and visual studies).
This Special Issue invites contributions that address different aspects of image understanding with the common goal of bridging cross-disciplinary gaps.
The topics of interest include, but are not limited to, the following: