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vitrivr

Research Project
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01.01.2016
 - 31.12.2025

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.

Publications

Rieger, Jennifer et al. (2016) ‘Ein Bild sucht mehr als tausend Worte’, Deutschlandfunk. Germany (Deutschlandfunk). Available at: http://www.deutschlandfunk.de/videos-automatisch-durchforsten-ein-bild-sucht-mehr-als.676.de.html?dram:article_id=357748.

URLs
URLs

Rossetto, Luca et al. (2016) ‘vitrivr - A Flexible Retrieval Stack Supporting Multiple Query Modes for Searching in Multimedia Collections’. ACM: ACM. Available at: https://doi.org/10.1145/2964284.2973797.

URLs
URLs

Tănase, Claudiu et al. (2016) ‘The vitrivr System at TRECVID 2016: The Ad-Hoc Video Search Task’. National Institute of Standards and Technology (NIST): National Institute of Standards and Technology (NIST).

URLs
URLs

Members (6)

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Heiko Schuldt

Principal Investigator
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Ralph Gasser

Project Member
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Mahnaz Parian-Scherb

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Loris Sauter

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Florian Spiess

Project Member
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Silvan Heller

Project Member