[HTML][HTML] Leveraging knowledge graphs and deep learning for automatic art analysis
G Castellano, V Digeno, G Sansaro, G Vessio - Knowledge-Based Systems, 2022 - Elsevier
The growing availability of large collections of digitized artworks has disclosed new
opportunities to develop intelligent systems for the automatic analysis of fine arts. Among …
opportunities to develop intelligent systems for the automatic analysis of fine arts. Among …
Data-efficient image captioning of fine art paintings via virtual-real semantic alignment training
The image captioning of fine art paintings aims at generating a sentence to describe the
painting content. Compared with photographic images, there are few annotated data of clear …
painting content. Compared with photographic images, there are few annotated data of clear …
Stylefool: Fooling video classification systems via style transfer
Video classification systems are vulnerable to adversarial attacks, which can create severe
security problems in video verification. Current black-box attacks need a large number of …
security problems in video verification. Current black-box attacks need a large number of …
Artxai: Explainable artificial intelligence curates deep representation learning for artistic images using fuzzy techniques
J Fumanal-Idocin, J Andreu-Perez… - … on Fuzzy Systems, 2023 - ieeexplore.ieee.org
Automatic art analysis employs different image processing techniques to classify and
categorize works of art. When working with artistic images, we need to take into account …
categorize works of art. When working with artistic images, we need to take into account …
Not only generative art: Stable diffusion for content-style disentanglement in art analysis
The duality of content and style is inherent to the nature of art. For humans, these two
elements are clearly different: content refers to the objects and concepts in the piece of art …
elements are clearly different: content refers to the objects and concepts in the piece of art …
Semantic technology for cultural heritage: a bibliometric-based review
Purpose The purpose of this study is to review the application of semantic technologies in
cultural heritage (STCH) to achieve interoperability and enable advanced applications like …
cultural heritage (STCH) to achieve interoperability and enable advanced applications like …
Artcap: A dataset for image captioning of fine art paintings
The image captioning of fine art paintings aims at generating content descriptions for the
paintings. Due to the complexity of modeling both image and language, this task usually …
paintings. Due to the complexity of modeling both image and language, this task usually …
A deep learning approach to clustering visual arts
G Castellano, G Vessio - International Journal of Computer Vision, 2022 - Springer
Clustering artworks is difficult for several reasons. On the one hand, recognizing meaningful
patterns based on domain knowledge and visual perception is extremely hard. On the other …
patterns based on domain knowledge and visual perception is extremely hard. On the other …
Integrating contextual knowledge to visual features for fine art classification
G Castellano, G Sansaro, G Vessio - arxiv preprint arxiv:2105.15028, 2021 - arxiv.org
Automatic art analysis has seen an ever-increasing interest from the pattern recognition and
computer vision community. However, most of the current work is mainly based solely on …
computer vision community. However, most of the current work is mainly based solely on …
[HTML][HTML] GraphCLIP: Image-graph contrastive learning for multimodal artwork classification
We present GraphCLIP, a novel contrastive learning framework for multimodal artwork
classification that integrates visual and contextual information to improve predictive accuracy …
classification that integrates visual and contextual information to improve predictive accuracy …