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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Multi-Stage Queries and Temporal Scoring in Vitrivr
Organization Unit
  • Silvan Heller
  • Loris Sauter
  • Heiko Schuldt
  • Luca Rossetto
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
ISBN 978-1-7281-1485-9
Page Range 1 - 5
Event Title 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Event Type workshop
Event Location London
Event Start Date August 6 - 2020
Event End Date August 10 - 2020
Publisher IEEE
Abstract Text The increase in multimedia data brings many challenges for retrieval systems, not only in terms of storage and processing requirements but also with respect to query formulation and retrieval models. Querying approaches which work well up to a certain size of a multimedia collection might start to decrease in performance when applied to larger volumes of data. In this paper, we present two extensions made to the retrieval model of the open-source content-based multimedia retrieval stack vitrivr which enable a user to formulate more precise queries which can be evaluated in a staged manner, thereby improving the result quality without sacrificing the system’s overall flexibility. Our retrieval model has shown its scalability on V3C1, a video collection encompassing approx. 1000 hours of video.
Digital Object Identifier 10.1109/ICMEW46912.2020.9105954
Other Identification Number merlin-id:19561
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