Feature-driven video segmentation and advanced querying with Vitrivr-engine
L Rossetto, R Gasser - International Conference on Multimedia Modeling, 2025 - Springer
The vitrivr system has been a long-term contributor to the annual Video Browser Showdown.
In our 2024 participation, we introduced a new core retrieval engine to the vitrivr stack …
In our 2024 participation, we introduced a new core retrieval engine to the vitrivr stack …
General Purpose Multimedia Retrieval with vitrivr at LSC'24
The collection of lifelog data---visual and multi-sensory data, including biometric and
spatiotemporal metadata---becomes easier and more supported by commercial products …
spatiotemporal metadata---becomes easier and more supported by commercial products …
MediaMix: Multimedia Retrieval in Mixed Reality
Extended reality (XR), which encompasses the concepts of augmented (AR), mixed (MR),
and virtual reality (VR), enables unique user interactions. Focusing on mixed reality is …
and virtual reality (VR), enables unique user interactions. Focusing on mixed reality is …
Multimodal Understanding: Investigating the Capabilities of Large Multimodal Models for Object Detection in XR Applications
Extended Reality (XR), encompassing the concepts of augmented, virtual, and mixed reality,
has the potential to offer unprecedented types of user interactions. An essential requirement …
has the potential to offer unprecedented types of user interactions. An essential requirement …
Simplified Video Retrieval in Virtual Reality with vitrivr-VR
The use and application of virtual reality (VR) continue to grow as more advanced VR-
capable hardware is developed. With VR hardware entering the mainstream, it becomes …
capable hardware is developed. With VR hardware entering the mainstream, it becomes …
VideoEase at VBS2025: An Interactive Video Retrieval System
We present the VideoEase interactive video retrieval system, which we used to participate in
VBS2025. This is the first time that VideoEase has taken part in the VBS challenge …
VBS2025. This is the first time that VideoEase has taken part in the VBS challenge …
NII-UIT at VBS2025: Multimodal Video Retrieval with LLM Integration and Dynamic Temporal Search
In summary, our innovative retrieval system for interactive video search, developed for the
VBS 2025 competition, significantly elevates the user experience through the utilization of …
VBS 2025 competition, significantly elevates the user experience through the utilization of …