Summary of Visual Navigation Of Digital Libraries: Retrieval and Classification Of Images in the National Library Of Norway’s Digitised Book Collection, by Marie Roald et al.
Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway’s Digitised Book Collection
by Marie Roald, Magnus Breder Birkenes, Lars Gunnarsønn Bagøien Johnsen
First submitted to arxiv on: 19 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Information Retrieval (cs.IR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proof-of-concept image search application presented in this work leverages recent computer vision advances to enable efficient exploration of images in the National Library of Norway’s pre-1900 book collection. By comparing Vision Transformer (ViT), Contrastive Language-Image Pre-training (CLIP), and Sigmoid loss for Language-Image Pre-training (SigLIP) embeddings, the authors demonstrate the effectiveness of SigLIP for both image retrieval and classification tasks, showing promising results for exact image retrieval and improved performance in classification tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A team of researchers has created a new tool to help people search for images in old books. They used special computer programs to compare different ways of looking at pictures and found that one way worked better than the others. This is important because many old books have pictures, and making these books easily searchable will make them more accessible to everyone. |
Keywords
» Artificial intelligence » Classification » Sigmoid » Vision transformer » Vit
