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Combining Boolean and Multimedia Retrieval in vitrivr for large-scale Video Search

Sauter, Loris and Amiri Parian, Mahnaz and Gasser, Ralph and Heller, Silvan and Rossetto, Luca and Schuldt, Heiko. (2020) Combining Boolean and Multimedia Retrieval in vitrivr for large-scale Video Search. In: MultiMedia Modeling. 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, Proceedings, Part II. Cham, pp. 760-765.

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Official URL: https://edoc.unibas.ch/81624/

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Abstract

This paper presents the most recent additions to the vitrivr multimedia retrieval stack made in preparation for the participation to the 9th Video Browser Showdown (VBS) in 2020. In addition to refining existing functionality and adding support for classical Boolean queries and metadata filters, we also completely replaced our storage engine ADAMpro by a new database called Cottontail DB. Furthermore, we have added support for scoring based on the temporal ordering of multiple video segments with respect to a query formulated by the user. Finally, we have also added a new object detection module based on Faster-RCNN and use the generated features for object instance search.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Sauter, Loris and Parian-Scherb, Mahnaz and Gasser, Ralph and Heller, Silvan
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-030-37733-5
e-ISBN:978-3-030-37734-2
Series Name:Lecture Notes in Computer Science
Issue Number:11962
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:10 Feb 2021 16:15
Deposited On:10 Feb 2021 16:15

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