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Retrieval of Structured and Unstructured Data with vitrivr

Rossetto, Luca and Gasser, Ralph and Heller, Silvan and Amiri Parian, Mahnaz and Schuldt, Heiko. (2019) Retrieval of Structured and Unstructured Data with vitrivr. In: Proceedings of the ACM Workshop on Lifelog Search Challenge. pp. 27-31.

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Official URL: https://edoc.unibas.ch/73831/

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Abstract

With the increase in sensory capability of mobile devices, the data that can be generated and used in a lifelogging context gets increasingly diverse. Such data is special in the context of multimedia, not only because of its close personal relationship with its originator, but also because of its diverse multimodality and its composition from structured, semi-structured, and unstructured data. This diversity poses retrieval challenges that are unique to lifelog data but which also have implications for retrieval activity in other multimedia domains. In this paper, we present the extensions made to the vitrivr open-source multimedia retrieval stack, in order to address some of these unique lifelogging challenges. For the participation to the 2019 Lifelog Search Challenge (LSC), we have extended vitrivr with the capability to process Boolean query expressions alongside content-based query descriptions in order to leverage the structural diversity inherent to lifelog data.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Rossetto, Luca and Gasser, Ralph and Heller, Silvan and Amiri Parian, Mahnaz
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:ACM
e-ISBN:978-1-4503-6781-3
Note:Publication type according to Uni Basel Research Database: Conference paper -- Winner of the 2019 LSC competition
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Last Modified:11 Mar 2020 08:55
Deposited On:11 Mar 2020 08:55

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