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Do you want to publish images that you have found in prometheus? Since prometheus itself does not own any image rights, you usually cannot obtain the necessary publication permissions directly from the image archive. However, we can help you with information about the image rights for the respective images. You will find a link to the image rights for the selected image directly on the image, in the bottom left-hand bar: §.
There you will find information about the image rights for the respective work (1.a.), the respective photo (1.b.), the image credits (2.) and the image database from which the work in the image archive originates. You will also find instructions there on how, with whom and where you can clarify the publication rights.
In some cases you will see § with an asterisk at the bottom of the left bar – §* – …
… then you can obtain publication permission via a direct link, as in this example with images from bpk – Image Portal of Art Museums, Image Agency for Art, Culture and History, Prussian Cultural Heritage Foundation, Berlin. First select the type of publication for which you intend to use this image and complete the other fields on the form. As soon as you save the information, the form will be sent and you will receive further information at the email address provided.
With the aim of using structured data for research that can be maintained by everyone in a central location, Wikidata, the free database of the Wikimedia Foundation, is integrated in various places in prometheus. If Wikidata IDs are provided by the integrated image databases, there are Wikidata search links in the image archive that you can click directly, so that you can get to the corresponding authority file in Wikidata outside of prometheus. Within the image archive, you can search directly for the Wikidata IDs and add the corresponding Wikidata ID to the artist fields of the images, thereby updating the data at the same time, as here in the case of Frei Paul Otto:
When you click on “Add Wikidata ID”, a window opens in which you can first enter the name and then select the corresponding Wikidata entry. After saving, the Wikidata ID is added as a search link. If necessary, you can click on the pen to make corrections.
So far, around 850 entries have been added in this way. We look forward to the first 1,000. :-)
Anyone who has personal access to prometheus can create image collections in the image archive. You can use these image collections privately or share them with individuals, for example to work together on a topic for a presentation. You can also publish them in readable or writable format to give everyone in prometheus access.
Another option is to download your image collections to use them further in a research or teaching context. There are two download options available to you.
(1) You can download the image collection as a zip file. If you unzip this file, you will have the images in one folder as well as text files with the corresponding metadata for each individual image.
(2) You can export the image collection as a PowerPoint file. A slide is created for each image, including the metadata title, artist, date and location. You can now edit this presentation individually for your homework or presentation.
You can also enrich your own and public image collections to create material collections. Firstly, by adding a description of the topic of the image collection or keywords such as type, genre, era or time period. Secondly, by adding literature references and web addresses, externally for content on the topic or internally for relevant image collections in the image archive. You can add further information, suggestions for discussion and research questions in the comments.
Integrated in prometheus is the Image database ‘Architecture Museum’ of the Technical University of Berlin since 2008. A lot has happened and developed over the years, not only in the digitization of further drawings, prints and photographs or the link to the The Integrated Authority File (GND) of the German National Library.
It was definitely time for an update. Instead of 26,636, there are now 161,680 data records available for your research in the field of architectural history. Many of the works and digital copies are in the public domain and the TU Berlin is happy to receive an image credit.
We hope you enjoy your research.
In prometheus you can currently access more than 3.5 million images for your research work, papers and presentations as well as for your teaching. Nevertheless, the images you need for your specific topics are often missing. Or you have just been traveling and want to add your own current images of cultural objects. You know that you can upload all these images to your own image database with a personal account at prometheus and use them in the same way as the 126 image databases included, right? On our help pages you can read how the Upload into your own image database works.
Your uploads will then be directly available for your own image collections. After editorial review for quality assurance purposes by the prometheus office, you can also make the images accessible to others in the image archive and, since last year, the images also appear in the search results if you do not switch off this function.
Would you like to use your own image database in prometheus as an institute, school or project? Please get in touch with us and we will set up an institute database for you, such as the „BaSaar Image Archive“ of Art History at Saarland University. The first 32 data records are indexed and accessible for general searches.
We mentioned it briefly in the last newsletter: the realization of a new design in the image archive is currently our “biggest” project. We work together on the open source design and prototyping platform Penpot from Kaleidos, discuss individual drafts in weekly Zoom sessions, for example for the list view of the search results or about the upload workflow and make overarching decisions about functionality and design. Here is a view of the complex workflow at Penpot for the individual areas at prometheus from “search” to “administration”.
To be continued …
April 1st was our birthday again. It wasn’t a big one, but a birthday is a birthday, and it’s an opportunity for us to take a quick look back, update the figures, take the next steps and discuss new plans.
It all started 2001 with a meeting in Berlin and a year later we recruited partners on quite a few occasions. For this purpose, we have posted on Instagram and will continue to comb through our hard drives in the next few days to publish pictures from the past few years there.
We publish current figures from the image archive every two weeks in the newsletter, but once a year we update them on Facebook in the project information section. This time we were able to add six image databases and almost 300,000 images. We will inform you here about the next steps, new plans and ideas over the next few months. This includes, among other things, further integration of image databases, but above all the implementation of the new design in the image archive.
Within the consortium NFDI4Culture, whose goal is to build a needs-oriented infrastructure for research data on material and intangible cultural assets in the National Research Data Infrastructure, the networking of the Culture Knowledge Graph advanced. This creates a connection between all research data in the subject areas from architecture, art and music to theater, dance, film and media studies.
prometheus is already integrated as a resource and the 26 Open -Access image databases accessed via the API, so that these will soon be integrated into the Culture Knowledge Graph.
Via the Interface (API) everyone has the opportunity to speak directly to pandora, the software from prometheus, the digital image archive, and perform the following actions: search, retrieve metadata and images, explore image collections, and upload images. Statistical queries are also possible.
An example of the query of metadata for individual images: „Aaron goes to meet Moses (Rieter window)“
The Heidelberg University Library’s new image database, which has been integrated into prometheus for a few days now, comprises 2,343 data records. The aim of this HeidICON pool „UB Anatomische Illustrationen “ is the complete formal and content-related indexing of the illustrations of selected 19th century anatomical plates from the library’s holdings. They originate from the Cooperation with the Institute of Anatomy and Cell Biology of the University of Heidelberg. The selected textbooks, illustrations and records reflect the content of the former teaching and learning collection and document the contemporary focus of research.
Today we would like to take another look at the image similarity search integrated in prometheus, which creates image vectors based on the SwAV (Swapping Assignments between Views) self-supervised learning algorithm. They are limited to 80 dimensions sufficient for the result, which relate, for example, to color properties or the brightness of pixels as well as to the structural image composition. These created image vectors are pre-calculated for the images in the image archive and stored in the index so that the search engine queries are reduced to calculating the distance between these vectors stored in the index. They have not yet been created and indexed for all images in prometheus, but this is done at regular intervals. If images are deleted from the original databases and are therefore “not available”, they will remain in the index until the next update.
We occasionally receive feedback on the image similarity search from users who are not convinced by the results because, for example, one of our examples, a winter landscape by Witsen, shows many summer landscapes or „Asparagus“ by Edouard Manet in the results.
What do you think? Are the images similar or not similar?
We see the similarity in the images, between snow and sand, which we do not evaluate based on the metadata associated with the image. And yes, there are some surprising, astonishing and sometimes inexplicable results that we find in this way, especially when the calculated distance is greater in the results listed below.
But there are also fascinating results, as in the case of the „Madonna and Child“ by Giovanni Bellini.
Most of the time, however, we don’t do exploratory searches, but rather targeted searches to get less unexpected results and then we search for winter landscape or the keywords winter landscape, winter, landscape in the title using the Advanced Search.
Have you already tried the image similarity search?
