Vision-Language Models for Filtering and Clustering Forensic Data

Axel Weißenfeld, David Weichselbaum, Christopher Wimmer, Martina Tschapka, Bernhard Strobl

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

With image- and video-capable devices in the hands of a majority of the population worldwide, the amount of media data keeps growing. Hence, the search of specific images and clustering of datasets is of great importance to extract the relevant information, e.g. search for a specific person by legal enforcement agencies (LEAs). This paper presents a new tool which uses vision-language models to filter and cluster forensic data. The tool provides a GUI, which enables a flexible search by accepting textual as well as image input, to search large amounts of data in near real-time.
OriginalspracheEnglisch
TitelProceedings of the OAGM Workshop 2022
UntertitelDigitalization for Smart Farming and Forestry
Redakteure/-innenHermann Bürstmayr, Andreas Gronauer, Andreas Holzinger, Peter M. Roth, Karl Stampfer
Seiten82-84
PublikationsstatusVeröffentlicht - 2022
VeranstaltungÖAGM - Austrian Association for Pattern recognition -
Dauer: 18 Okt. 2022 → …

Sonstiges

SonstigesÖAGM - Austrian Association for Pattern recognition
Zeitraum18/10/22 → …

Research Field

  • Ehemaliges Research Field - Data Science
  • Former Research Field - Surveillance and Protection

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