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vitrivr-explore: Guided Multimedia Collection Exploration for Ad-hoc Video Search

Heller, Silvan and Parian-Scherb, Mahnaz and Pasquinelli, Maurizio and Schuldt, Heiko. (2020) vitrivr-explore: Guided Multimedia Collection Exploration for Ad-hoc Video Search. In: Similarity Search and Applications. 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings. Cham, pp. 379-386.

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Official URL: https://edoc.unibas.ch/81635/

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Abstract

vitrivr is an open-source system for indexing and retrieving multimedia data based on its content and it has been a fixture at the Video Browser Showdown (VBS) in the past years. While vitrivr has proven to be competitive in content-based retrieval due to the many different query modes it supports, its functionality is rather limited when it comes to exploring a collection or searching result sets based on content. In this demonstration, we present vitrivr-explore, an extension to the vitrivr stack that allows to explore multimedia collections using relevance feedback. For this, our implementation integrates into the existing features of vitrivr and exploits self-organizing maps. Users initialize the exploration either with a query or just pick examples from a collection while browsing. Exploration can be based on a mixture of semantic and visual features. We describe our architecture and implementation and present preliminary results of vitrivr-explore in a competitive VBS-like evaluation. These results show that vitrivr-explore is competitive for Ad-hoc Video Search (AVS) tasks, even without user initialization.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Heller, Silvan and Parian-Scherb, Mahnaz and Pasquinelli, Maurizio
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-030-60935-1
e-ISBN:978-3-030-60936-8
Series Name:Lecture Notes in Computer Science
Issue Number:12440
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:10 Feb 2021 16:27
Deposited On:10 Feb 2021 16:27

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