With the Poses of People in Art dataset, we introduce the first openly licensed dataset for
estimating human poses in art and validating human pose estimators. It consists of 2,454 …

Artificial Intelligence significantly enhances the visual art industry by analyzing, identifying
and generating digitized artistic images. This review highlights the substantial benefits of …

Large-scale photographic datasets like ImageNet and Places365 have significantly
improved scene classification performance in natural images. However, scene classification …

The automatic recognition of sensory gestures in artworks provides the opportunity to open
up methods of computational humanities to modern paradigms like sensory studies or …

The digitization of artworks has recently offered new computational perspectives on the
study of art history. While much of the focus has been on classifying styles or identifying …

The public now has easier access to photos of items in museums and galleries because to
the digitization of fine art collections. This produced a need for software tools that can quickly …

Defining a project in digital art history is exciting and full of promises: From the possibility to
unveil artistic trends over a large period of time to the discovery of the source of inspiration of …

The main goal of this article is to introduce a new method for the analysis of depicted
gestures in painting, namely a transcription system called chiroscript. Based on the model of …

In this paper, we explore the application of keypoint-based human pose estimation
techniques for recognizing hand gestures, known as" mudra" s in Buddhist art images. We …

76 Valentine Bernasconi requirements. Still, the photographic collection of the Bibliotheca
Hertziana is an extreme case: Titles come in different languages and are not standardized …