vitrivr
Project funded by own resources
Project title vitrivr
Principal Investigator(s) Schuldt, Heiko
Project Members Rossetto, Luca
Giangreco, Ivan
Tanase, Claudiu-Ioan
Gasser, Ralph
Heller, Silvan
Parian-Scherb, Mahnaz
Sauter, Loris
Organisation / Research unit Departement Mathematik und Informatik / Datenbanken (Schuldt)
Project Website https://www.vitrivr.org/vitrivr.html
Project start 01.01.2016
Probable end 31.12.2022
Status Active
Abstract

With the tremendous increase of video recording devices and the resulting abundance of digital video, finding a particular video sequence in ever-growing collections is more and more becoming a major challenge. Existing approaches to retrieve videos mostly still rely on text-based retrieval techniques to find desired sequences. With vitrivr, we have open sourced our Cineast retrieval engine and the ADAM database back-end in order to encourage a large and creative community of open source developers to actively participate in the development.

Financed by University funds
Other funds

Published results ()

  ID Autor(en) Titel ISSN / ISBN Erschienen in Art der Publikation
3695550  Rossetto, Luca; Giangreco, Ivan; Tanase, Claudiu; Schuldt, Heiko  vitrivr - A Flexible Retrieval Stack Supporting Multiple Query Modes for Searching in Multimedia Collections  978-1-4503-3603-1    Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
3695631  Tănase, Claudiu; Rossetto, Luca; Giangreco, Ivan; Schuldt, Heiko  The vitrivr System at TRECVID 2016: The Ad-Hoc Video Search Task      Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
3695638  Rieger, Jennifer; Schuldt, Heiko; Rossetto, Luca; Giangreco, Ivan  Ein Bild sucht mehr als tausend Worte      Publication: NewsItemEmission (Radio - Fernsehbeiträge) 
   

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