Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets
Tillmann Ohm, Mar Canet Sol\`a, Andres Karjus, Maximilian Schich

TL;DR
The paper presents the Collection Space Navigator, a browser-based interactive visualization tool designed to explore and analyze large multidimensional datasets, such as image collections with associated metadata, through combined projections and filters.
Contribution
It introduces a customizable, open-source visualization interface that integrates 2D projections with multidimensional filtering for comprehensive dataset exploration.
Findings
Enables interactive exploration of large visual datasets.
Supports filtering and transforming high-dimensional data.
Provides export options for insights gained during analysis.
Abstract
We introduce the Collection Space Navigator (CSN), a browser-based visualization tool to explore, research, and curate large collections of visual digital artifacts that are associated with multidimensional data, such as vector embeddings or tables of metadata. Media objects such as images are often encoded as numerical vectors, for e.g. based on metadata or using machine learning to embed image information. Yet, while such procedures are widespread for a range of applications, it remains a challenge to explore, analyze, and understand the resulting multidimensional spaces in a more comprehensive manner. Dimensionality reduction techniques such as t-SNE or UMAP often serve to project high-dimensional data into low dimensional visualizations, yet require interpretation themselves as the remaining dimensions are typically abstract. Here, the Collection Space Navigator provides a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenerative Adversarial Networks and Image Synthesis · Advanced Image and Video Retrieval Techniques · Image Retrieval and Classification Techniques
MethodsHigh-Order Consensuses · Compressive Transformer · Parametric UMAP · Convolution · Bitcoin Customer Service Number +1-833-534-1729 · Principal Components Analysis
