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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Cottontail DB: An Open Source Database System for Multimedia Retrieval and Analysis
Organization Unit
  • Ralph Gasser
  • Luca Rossetto
  • Silvan Heller
  • Heiko Schuldt
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
ISBN 9781450379885
Page Range 4465 - 4468
Event Title MM '20: The 28th ACM International Conference on Multimedia
Event Type conference
Event Location Seattle WA USA
Event Start Date November 12 - 2020
Event End Date November 16 - 2020
Place of Publication New York, NY, USA
Publisher ACM
Abstract Text Multimedia retrieval and analysis are two important areas in "Big data" research. They have in common that they work with feature vectors as proxies for the media objects themselves. Together with metadata such as textual descriptions or numbers, these vectors describe a media object in its entirety, and must therefore be considered jointly for both storage and retrieval. In this paper we introduce Cottontail DB, an open source database management system that integrates support for scalar and vector attributes in a unified data and query model that allows for both Boolean retrieval and nearest neighbour search. We demonstrate that Cottontail DB scales well to large collection sizes and vector dimensions and provide insights into how it proved to be a valuable tool in various use cases ranging from the analysis of MRI data to realizing retrieval solutions in the cultural heritage domain.
Digital Object Identifier 10.1145/3394171.3414538
Other Identification Number merlin-id:19867
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