Media Cataloging

Nos capacités de catalogage multimédia

Our latest technologies enable us to apply artificial intelligence processing to entire media collections. We can process your image databases, catalogs, and art collections to significantly enhance the quality of their metadata.

Détection automatique des photographies ou illustrations présentes sur la page

The process begins with precise detection of photographs and illustrations, isolating these graphic elements from the text and background.

Création automatique de balises décrivant le contenu multimédia.

Using deep learning technologies, we can generate a description of the contents of your media. This can take the form of a curatorial note or a list of tags, helping the automatic referencing of large quantities of media.

Détection automatique des objets ou des personnes présents dans l'image.

We provide a detailed analysis of visual content, including the detection of recognizable entities.

TEKLIA's technology interprets images through a lens of customizable indexing criteria, such as an institution's own thesaurus.

Media Cataloging Applications

Collection Management

Curators, archivists, and publishers can automate the process of sorting and organizing images, saving them time when dealing with large collections.

Intelligent keyword search

Generating keywords automatically can offer a more exhaustive indexing for your media collection, opening considerable potential for thematic research or digital cataloging.

Thesaurus integration

This analysis can adapt to various frameworks and reference systems, such as the Thesaurus For Graphic Materials or BNF's INTERMARC, providing flexibility to integrate with the existing systems of institutions.

Pilot Study: Digitizing Japanese Photographic Heritage at Musée Guimet

Supported by the French Ministry of Culture through the France 2030 plan, TEKLIA's pilot study with the Musée national des Arts asiatiques - Guimet (MNAAG) focuses on a prized collection of 280 Japanese photographic albums from the mid-19th to the early 20th century. This initiative aims to leverage our sophisticated AI-based photographic analysis tools for digital preservation and enhanced accessibility of these historic images, providing a rich cultural context and aiding in the promotion of digital heritage conservation.