Harald KlinkeDec 5
Ich habe #NotebookLM all meine Publikationen gegeben – und es hat dieses Visual daraus erstellt. Nicht schlecht!
So sieht digitale Kunstgeschichte in a nutshell aus: vom einzelnen Bild zur Analyse riesiger Bildkorpora, von Close Viewing zu Distant Viewing, von Dia zu Algorithmus und Metabildern.
#DigitalArtHistory #BigImageData #AIforHumanities
https://www.harald-klinke.de/publications
Show threadHarald KlinkeJul 30, 2025

Why does it matter?

If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally.
#bigimagedata #machinelearning

Show threadHarald KlinkeJul 30, 2025
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces.
#metaimage #bigimagedata
Harald KlinkeJul 30, 2025

💡When designing an image API, it’s worth going beyond just returning image URLs and the usual meta data.

Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵
#bigimagedata #metaimage #digitalarthistory

Harald KlinkeJul 30, 2025
💡When designing an image API, it’s worth going beyond just returning image URLs. Including image feature vectors in the response can significantly expand what’s possible for users and researchers. 🧵 #bigimagedata #metaimage #digitalarthistory
Show threadHarald KlinkeJul 30, 2025
Why does it matter? If the API already provides features (e.g. extracted via ResNet or similar), users can directly perform t-SNE or other dimensionality reduction techniques without first downloading the images and processing them locally. #bigimagedata #machinelearning
Show threadHarald KlinkeJul 30, 2025
Including image features in the JSON response lowers technical entry barriers and enables powerful applications – not just for data scientists, but also for curators, scholars, and developers working on visual interfaces. #metaimage #bigimagedata
Harald KlinkeMay 28, 2025
Special Issue “Big Visual Data als neue Form des Wissens” – jetzt online-first
Die Einleitung zum Sonderheft der Schweizerischen Zeitschrift für Soziologie ist jetzt verfügbar. Sechs Beiträge erkunden Potenziale & Herausforderungen visueller Daten in der Wissensproduktion. Print: Juli 2025.
👉 https://www.socio-journal.ch/article/view/7178/7919
#BigImageData #Wissensproduktion #Epistemologie #Soziologie #CriticalDataStudies #CriticalAlgorithmStudies
Harald KlinkeNov 20, 2024
Introducing IMGS.AI, a multimodal search engine revolutionizing Digital Art History! Built with cutting-edge ML models like CLIP, it addresses image retrieval challenges and proposes solutions for standardizing feature extraction.
By @zentralwerkstatt & @peterbell
#DigitalArtHistory #MachineLearning #ComputerVision #CLIPModel #HCI #BigImageData #FeatureExtraction
https://dahj.org/article/imgsai
IMGS.AI. A Multimodal Search Engine for Digital Art History — DAHJ

We present a web application that facilitates multimodal search within institutional image collections using current-generation machine learning models like CLIP

DAHJ