In this paper, we present the fourth release of VISIONE, a tool for fast and effective video
search on a large-scale dataset. It includes several search functionalities like text search …

Recent foundation models trained on a tremendous scale of data have shown great promise
in a wide range of computer vision tasks and application domains. However, less attention …

Vibro represents a powerful tool for interactive video retrieval and browsing and is the
winner of the Video Browser Showdown 2022. Following the saying of “never change a …

Abstract vitrivr is a general purpose retrieval system that supports a wide range of query
modalities. In this paper, we briefly introduce the system and describe the changes and …

While existing video benchmarks largely consider specialized downstream tasks like
retrieval or question-answering (QA) contemporary multimodal AI systems must be capable …

In this paper, we present an interactive video retrieval system named VideoCLIP developed
for the Video Browser Showdown 2023. To support users in solving retrieval tasks, the …

According to our experience from VBS2023 and the feedback from the IVR4B special
session at CBMI2023, we have largely revised the diveXplore system for VBS2024. It now …

Large language models (LLMs) have demonstrated a powerful ability to answer various
queries as a general-purpose assistant. The continuous multi-modal large language models …

VISIONE is a large-scale video retrieval system that integrates multiple search
functionalities, including free text search, spatial color and object search, visual and …

Nowadays, deep learning based models like CLIP allow simple design of cross-modal video
search systems that are able to solve many tasks considered as highly challenging several …