Here are the winners of the Video Browser Showdown from the previous years.

WINNERS 2022

How were winners selected?

From the best scoring teams over all three categories (AVS, KIS visual, KIS textual), we selected the overall winner, the winner of each category (excluding the overall winner), and the best newcomer.

Overall Winners (Best VBS System):

Nico Hezel, Konstantin Schall, Klaus Jung, and Kai Uwe Barthel. Efficient Search and Browsing of Large-Scale Video Collections with Vibro. HTW Berlin, University of Applied Sciences – Visual Computing Group, Germany

Best AVS:

Sangmin Lee, Sungjune Park, and Yong Man Ro. IVIST: Interactive Video Search Tool in VBS 2022. KAIST, Daejeon, South Korea

Best KIS visual:

Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo. VISIONE at Video Browser Showdown 2022. ISTI-CNR, Pisa, Italy

Best KIS textual:

Jakub Lokoč, František Mejzlík, Tomáš Souček, Patrik Dokoupil, and Ladislav Peška. Video Search with Context-aware Ranker and Relevance Feedback. Charles University, Prague, Czech Republic

Best Newcomer:

Tu-Khiem Le, Van-Tu Ninh, Mai-Khiem Tran, Graham Healy, Cathal Gurrin, Minh-Triet Tran. AVSeeker: An Active Video Retrieval Engine VBS2022. Dublin City University, Dublin, Ireland and VNU-HCM, Vietnam

 

 

WINNERS 2021

Overall Winners (Best VBS System):

Silvan Heller, Ralph Gasser, Cristina Illi, Maurizio Pasquinelli, Loris Sauter, Florian Spiess. Towards Explainable Interactive Multi-modal Video Retrieval with Vitrivr. University of Basel, Switzerland

Best AVS:

Silvan Heller, Ralph Gasser, Cristina Illi, Maurizio Pasquinelli, Loris Sauter, Florian Spiess. Towards Explainable Interactive Multi-modal Video Retrieval with Vitrivr. University of Basel, Switzerland

Best KIS visual:

Ladislav Peška, Gregor Kovalčík, Tomáš Souček, Vít Škrhák, Jakub Lokoč. W2VV++ BERT Model at VBS 2021 (VIRET). Charles University, Czech Republic

Best KIST textual:

Patrik Veselý, František Mejzlík, Jakub Lokoč. SOMHunter V2 at Video Browser Showdown 2021. Charles University, Czech Republic

WINNERS 2020

Miroslav Kratochvíl, Patrik Veselý, František Mejzlík, and Jakub Lokoč. SOM-Hunter: Video Browsing with Relevance-to-SOM Feedback Loop. Charles University, Prague, Czech Republic

The colleagues from Charles University have also released a lightweight version of SOMHunter, which you can use as a basis to start in VBS. The system is provided with all the necessary metadata for the V3C1 dataset and available here: https://github.com/siret/somhunter

WINNERS 2019

Luca Rossetto, Mahnaz Amiri Parian, Ralph Gasser, Ivan Giangreco, Silvan Heller, Heiko Schuldt. Deep Learning-Based Concept Detection in vitrivr
University of Basel, Switzerland

 

 

WINNERS 2018

Jakub Lokoc, Gregor Kovalcik and Tomas Soucek. Revisiting SIRET Video Retrieval Tool
Charles University in Prague, Czech Republic

 

WINNERS 2017

Luca Rossetto, Ivan Giangreco, Claudiu Tanase, Heiko Schuldt, Stephane Dupont and Omar Seddati.
Enhanced Retrieval and Browsing in the IMOTION System

WINNERS 2016

Kai Uwe Barthel, Nico Hezel, and Radek Mackowiak (and Florian Barthel),
HTW Berlin, Germany,
Navigating a graph of scenes for exploring large video collections

 

WINNERS 2015

Adam Blazek, Jakub Lokoc, Filip Matzner, and Tomas Skopal
SIRET Research Group, Charles University in Prague, Czech Republic
Enhanced Signature-based Video Browser

 

Winners 2014

Jakub Lokoc, Adam Blazek, and Tomas Skopal
SIRET Research Group, Charles University in Prague, Czech Republic
Signature-based Video Browser
They also provide a download of their tool here (implemented for Windows, with .NET):
siret-vbs-2014.zip.

Moreover, you can see an online demo of the system here

 

 

Winners 2013

Duy-Dinh Le, Vu Lam, Thanh Duc Ngo, Vinh Quang Tran, Vu Hoang Nguyen, Duc Anh Duong, and Shin’ichi Satoh
National Institute of Informatics / The Graduate University for Advanced Studies, Tokyo, Japan and The University of Information Technology / University of Science, HCM City, Vietnam
NII-UIT-VBS: A Video Browsing Tool for Known Item Search

 

 

Winners 2012

Manfred del Fabro and Laszlo Böszörmenyi
Institute of Information Technology (ITEC), Alpen-Adria-Universität Klagenfurt, Austria
AAU Video Browser: Non-Sequential Hierarchical Video Browsing without Content Analysis

 

Video Browser Showdown - The Video Retrieval Competition