Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access

Markus Schedl, Michael Mayr, Peter Knees

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

We present Music Tower Blocks, a novel browsing interface for interactive music visualization, capable of dealing with web-scale music collections nowadays offered by major music streaming services. Based on a clustering created from fused metadata and acoustic features, a block-based skyline landscape is constructed. It can be navigated by the user in several ways (zooming, panning, changing angle of slope). User-adjustable color coding is used for highlighting various facets, e.g., visualizing the distributions of genres and acoustic features. Furthermore, several search and filtering capabilities are provided (e.g., search for artists and tracks; filtering with respect to track popularity to focus on top hits or discovering unknown gems). In addition, Music Tower Blocks offers the user to connect to their personal music streaming profiles and highlight on the landscape their favorite or recently-listened-to music, to support exploring parts of the landscape near to (or far-away from) their own taste.
Original languageEnglish
Title of host publicationProceedings of the ACM International Conference on Multimedia Retrieval (ICMR 2020)
Number of pages5
Publication statusPublished - Jun 2020

Fields of science

  • 202002 Audiovisual media
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102015 Information systems

JKU Focus areas

  • Digital Transformation

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