[CfP] Special issue on Methodologies and Applications of Image Understanding in Cultural and Artistic Heritage - Deadline October 31, 2024

10 views
Skip to first unread message

Sinem Aslan

unread,
Jun 30, 2024, 8:58:43 PM (2 days ago) Jun 30
to

MDPI Journal of Imaging

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:

  • Computational analysis of images as visual cultural artifacts;
  • Contextually meaningful image searches and similarity retrieval in artwork collections;
  • Deep learning-based approaches for studying artwork images;
  • Computer vision applications in cultural heritage;
  • Multimodal deep learning for image understanding;
  • Understanding AI-generated images in the context of art and culture.



For questions and further information, please contact sinem...@unive.it 
Reply all
Reply to author
Forward
0 new messages