This paper presents findings of the eleventh Video Browser Showdown competition, where
sixteen teams competed in known-item and ad-hoc search tasks. Many of the teams utilized …

Despite the fact that automatic content analysis has made remarkable progress over the last
decade-mainly due to significant advances in machine learning-interactive video retrieval is …

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 …

The great success of visual features learned from deep neural networks has led to a
significant effort to develop efficient and scalable technologies for image retrieval …

Searching for one particular scene in a large video collection (known-item search)
represents a challenging task for video retrieval systems. According to the recent results …

In the last decade, the Video Browser Showdown (VBS) became a comparative platform for
various interactive video search tools competing in selected video retrieval tasks. However …

In this paper, we present the features implemented in the 4 th version of the VIREO Video
Search System (VIREO-VSS). In this version, we propose a sketch-based retrieval model …

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

This paper describes in detail VISIONE, a video search system that allows users to search
for videos using textual keywords, the occurrence of objects and their spatial relationships …

Known-item search in large video collections still represents a challenging task for current
video retrieval systems that have to rely both on state-of-the-art ranking models and …