33.763, Media: How Artificial Intelligence can benefit the Cultural Heritage sector? Watch the new video of the Saint George on a Bike project

[The LINGUIST List]

LINGUIST List: Vol-33-763. Fri Feb 25 2022. ISSN: 1069 - 4875.

Subject: 33.763, Media: How Artificial Intelligence can benefit the Cultural Heritage sector? Watch the new video of the Saint George on a Bike project

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Date: Fri, 25 Feb 2022 20:13:49
From: Mireia Cos [mireia.cospique at bsc.es]
Subject: How Artificial Intelligence can benefit the Cultural Heritage sector? Watch the new video of the Saint George on a Bike project

 
Cultural heritage professionals aim to improve the way we understand paintings
by generating descriptions of them. However, since millions of cultural
objects have been created throughout history, completing such a task seems
impossible, but only for humans.

The goal of the Saint George on a Bike (SGoaB) project is to provide
high-performance metadata enrichment capability by using High Performance
Computing (HPC) resources in the cultural heritage domain. The project trains
natural language processing and deep learning algorithms in culture, symbols,
and historical context to automatically generate rich metadata for hundreds of
thousands of images from various European cultural heritage repositories.
Within the project, researchers and engineers are creating rich descriptions
for paintings to train AI models, so these can in turn analyse many more
thousands of paintings automatically. 

In this regard the project has launched an engaging and inspiring video that
aims to show how AI can help the cultural heritage sector and its potential to
soon recognize the context of artwork and generate accurate annotations
automatically. The audience of this video are professionals working in the
GLAM sector and also the general public. 

Among other advantages of applying AI in the cultural heritage sector the
video highlights the improved experience visually impaired people could have
with better descriptions; the possibility to study hidden relations between
thousands of items simultaneously and the opportunity to curate virtual
exhibitions with related paintings from around the globe.

Watch the video: https://youtu.be/ZbUEs0SULKQ 

Saint George on a Bike: Training AI to be aware of cultural heritage contexts:

Automatic image captioning is a process that allows already trained models
running on commodity computers to generate textual descriptions from an image.
It is a burgeoning reality in a handful of other areas such as classifying
image contents on social media. However, to date, no AI system has been built
and trained to help in the description of cultural heritage images, while
factoring in the time-period and scene composition rules for sacred
iconography from the 14th to the 18th centuries.

As part of the Saint George on a Bike project, researchers at the Barcelona
Supercomputing Center and Europeana Foundation build and train AI systems to
help cultural heritage institutions describe and classify their art pieces
automatically.  In the end both casual users and cultural heritage
professionals will benefit from a better access to collections and also a
better experience navigating through collection catalogs. They will owe this
to richer artwork annotations, leading to improved image scene indexation and
search capabilities, obtained with the help of a specialized AI system.

“Our project will allow quick access to enriched cultural information, which
can serve equally well for cultural and social ends, education, tourism, and
possibly for historians or anthropologists. Indirectly the citizens can
benefit from better public services, when these are based on the insight that
the richer metadata we produce offers – such as web accessibility for the
visually impaired or narratives that can expose social injustice or
integration and gender issues through cultural heritage corpora and help
create a more tolerant European identity”, says Maria-Cristina Marinescu,
coordinator of the Saint George on a Bike project.

To learn more about the Saint George on a Bike project, visit
https://saintgeorgeonabike.eu/.
 


Linguistic Field(s): Computational Linguistics



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