Over the years since 2012, many teams have participated in the Video Browser Showdown competition. This page provides a collection of links to the corresponding papers, which describe the systems used by the participants.
VBS2025
- VEAGLE: Eye Gaze-Assisted Guidance for Video Browser Showdown.
Thang-Long Nguyen-Ho, Viet-Tham Huynh, Onanong Kongmeesub, Minh-Triet Tran, Dongyun Nie, Graham Healy, and Cathal Gurrin - VideoEase at VBS2025: An Interactive Video Retrieval System.
Quang-Linh Tran, Binh Nguyen, Gareth J. F. Jones, and Cathal Gurrin - Feature-driven Video Segmentation and Advanced Querying with vitrivr-engine.
Luca Rossetto and Ralph Gasser - HORUS: Multimodal Large Language Models Framework for Video Retrieval at VBS 2025.
Tai Nguyen, Anh Ngoc Minh Vo, Dat Duc Pham, Vinh Quang Tran, Nhu Thi Quynh Duong, Tien Anh Le, Tan Duy Le, and Binh T. Nguyen - Interactive Video Search with Multi-modal LLM Video Captioning.
Yu-Tong Cheng, Jiaxin Wu, Zhixin Ma, Jiangshan He, Xiao-Yong Wei, and Chong-Wah Ngo - Fusionista: Fusion of 3-D Information of Video in Retrieval System.
Huy M. Le, Dat Nguyen Tien, Khang Le Duy, Tuan Nguyen Dang Quang, Toan Nguyen Khanh, Tuyen Nguyen, and Binh T. Nguyen - ViFi: A Video Finding System at Video Browser Showdown 2025.
Khanh-An C. Quan, Qui Ngoc Nguyen, and Minh-Triet Tran - ViewsInsight2.0: Enhancing Video Retrieval for VBS 2025 with an Automatic Query Generator Powered by Large Language Models.
Gia-Huy Vuong, Van-Son Ho, Tien-Thanh Nguyen-Dang, Xuan-Dang Thai, Minh-Quan Ho-Le, Tu-Khiem Le, Minh-Khoi Pham, Van-Tu Ninh, Cathal Gurrin, and Minh-Triet Tran - VERGE in VBS 2025.
Nick Pantelidis, Dimitris Georgalis, Maria Pegia, Damianos Galanopoulos, Konstantinos Apostolidis, Klearchos Stavrothanasopoulos, Anastasia Moumtzidou, Konstantinos Gkountakos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, and Ioannis Kompatsiaris - Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback.
Ujjwal Sharma, Omar Shahbaz Khan, Stevan Rudinac, and Björn Þór Jónsson - Simplified Video Retrieval in Virtual Reality with vitrivr-VR.
Florian Spiess, Luca Rossetto, and Heiko Schuldt - diveXplore at the Video Browser Showdown 2025.
Mario Leopold and Klaus Schöffmann - NII-UIT at VBS2025: Multimodal Video Retrieval with LLM Integration and Dynamic Temporal Search.
Bao Tran Gia, Tuong Bui Cong Khanh, Tam Le Thi Thanh, Thuyen Tran Doan, Khiem Le, Tien Do, Tien-Dung Mai, Thanh Duc Ngo, Duy-Dinh Le, and Shin’ichi Satoh - PraK Tool V3: Enhancing Video Item Search Using Localized Text and Texture Queries.
Michael Stroh, Vojtěch Kloda, Benjamin Verner, Zuzana Vopálková, Raphael Buchmüller, Bastian Jäckl, Jakob Hajko, and Jakub Lokoč - MediaMix: Multimedia Retrieval in Mixed Reality.
Rahel Arnold, Rahel Kempf, Raphael Waltenspül, and Heiko Schuldt - SnapSeek 2.0 at Video Browser Showdown 2025.
Minh-Quan Ho-Le, Duy-Khang Ho, Huy-Hoang Do-Huu, Nhut-Thanh Le-Hinh, Hoa-Vien Vo-Hoang, Van-Tu Ninh, Cathal Gurrin, and Minh-Triet Tran - IMSearch 2.0: Toward User-centric and Efficient Interactive Multimedia Retrieval System.
Duc-Tuan Luu, Khanh-An C. Quan, Duy-Ngoc Nguyen, Khanh-Linh Bui-Le, Nhat-Sang Doan, Minh-Duc Le-Ngo, Vinh-Tiep Nguyen, and Minh-Triet Tran
VBS2024
- Waseda Meisei SoftBank at Video Browser Showdown 2024.
Takayuki Hori, Kazuya Ueki, Yuma Suzuki, Hiroki Takushima, Hayato Tanoue, Haruki Sato, Takumi Takada, and Aiswariya Manoj Kumar - Exploring Multimedia Vector Spaces with vitrivr-VR.
Florian Spiess, Luca Rossetto, and Heiko Schuldt - A New Retrieval Engine for Vitrivr.
Ralph Gasser, Rahel Arnold, Fynn Firouz Faber, Heiko Schuldt, Raphael Waltenspül, Luca Rossetto - VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024. (Overall Winner)
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo - PraK Tool: An Interactive Search Tool Based on Video Data Services. (Best Visual KIS/Experts)
Jakub Lokoc, Zuzana Vopálková, Michael Stroh, Raphael Buchmueller, Udo Schlegel - Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search.
Omar Shahbaz Khan, Hongyi Zhu, Ujjwal Sharma, Evangelos Kanoulas, Stevan Rudinac, Björn Þór Jónsson - VERGE in VBS 2024.
Nick Pantelidis, Maria Pegia, Damianos Galanopoulos, Konstantinos Apostolidis, Klearchos Stavrothanasopoulos, Anastasia Moumtzidou, Konstantinos Gkountakos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Björn Þór Jónsson - Optimizing the Interactive Video Retrieval Tool Vibro for the Video Browser Showdown 2024. (Best Textual KIS/Experts)
Konstantin Schall, Nico Hezel, Kai Uwe Barthel, Klaus Jung - diveXplore at the Video Browser Showdown 2024. (Best QA/Novices)
Klaus Schöffmann, and Sahar Nasirihaghighi. - Leveraging LLMs and Generative Models for Interactive Known-Item Video Search.
Zhixin MA, Jiaxin WU, Chong Wah NGO - TalkSee: Interactive Video Retrieval Engine Using Large Language Model.
Guihe Gu, Zhengqian Wu, Jiangshan He, Lin Song, Zhongyuan Wang, Chao Liang - VideoCLIP 2: An Interactive CLIP-based Video Retrieval System for Novice Users at VBS2024.
Thao-Nhu Nguyen, Le Minh Quang, Cathal Gurrin, Binh T. Nguyen, Graham Healy - ViewsInsight: Enhancing Video Retrieval for VBS 2024 with a User-Friendly Interaction Mechanism.
Gia-Huy Vuong, Van-Son Ho, Tien-Thanh Nguyen-Dang, Xuan-Dang Thai, Tu-Khiem Le, Minh-Khoi Pham, Van-Tu Ninh, Cathal Gurrin, Minh-Triet Tran
VBS 2023
- diveXplore at the Video Browser Showdown 2023.
Klaus Schoeffmann, Daniela Stefanics, and Andreas Leibetseder. - Exploring Effective Interactive Text-based Video Search in vitrivr.
Loris Sauter, Ralph Gasser, Silvan Heller, Luca Rossetto, Colin Saladin, Florian Spiess, and Heiko Schuldt. - Free-form Multi-Modal Multimedia Retrieval (4MR).
Rahel Arnold, Loris Sauter, and Heiko Schuldt. - Perfect Match in Video Retrieval.
Sebastian Lubos. Massimiliano Rubino, Christian Tautschnig, Markus Tautschnig, Boda Wen, Klaus Schoeffmann, and Alexander Felfernig. - QIVISE: A Quantum-inspired Interactive Video Search Engine in VBS2023. (Best Newcomer)
Weixi Song, Jiangshan He, Xinghan Li, Shiwei Feng, and Chao Liang. - Reinforcement Learning Enhanced PicHunter for Interactive Search.
Zhixin MA, Jiaxin WU, Weixiong LOO, and Chong Wah NGO. - Traceable Asynchronous Workflows in Video Retrieval with vitrivr-VR.
Florian Spiess, Silvan Heller, Luca Rossetto, Loris Sauter, Philipp Weber, and Heiko Schuldt. - V-FIRST 2.0: Video Event Retrieval with Flexible Textual-Visual Intermediary for VBS 2023.
Nhat Hoang-Xuan, E-Ro Nguyen, Thang-Long Nguyen-Ho, Minh-Khoi Pham, Quang-Thuc Nguyen, Hoang-Phuc Trang-Trung, Van-Tu Ninh, Tu-Khiem Le, Cathal Gurrin, and Minh-Triet Tran. - VERGE in VBS 2023.
Nick Pantelidis, Stelios Andreadis, Maria Pegia, Anastasia Moumtzidou, Damianos Galanopoulos, Konstantinos Apostolidis, Despoina Touska, Konstantinos Gkountakos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, and Ioannis Kompatsiaris. - Vibro: Video Browsing with Semantic and Visual Image Embeddings. (Overall Winner)
Konstantin Schall, Nico Hezel, Kai Uwe Barthel, and Klaus Jung. - Video Search With CLIP And Interactive Text Query Reformulation.
Jakub Lokoč, Zuzana Vopálková, Patrik Dokoupil, and Ladislav Peška. - VideoCLIP: An Interactive Video CLIP-based Retrieval System at VBS2023.
Thao-Nhu Nguyen, Bunyarit Puangthamawathanakun, Cathal Gurrin, Annalina Caputo, Graham Healy, Binh T. Nguyen, and Chonlameth Arpnikanondt. - VISIONE at Video Browser Showdown 2023. (Runner-Up)
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo
VBS 2022
- Multi-Modal Video Retrieval in Virtual Reality with vitrivr-VR
- Multi-Modal Interactive Video Retrieval with Temporal Queries
- Efficient Search and Browsing of Large-Scale Video Collections with Vibro (Overall Winner)
- VERGE in VBS 2022
- Video Search with Context-aware Ranker and Relevance Feedback (Best KIS Textual)
- Reinforcement Learning-Based Interactive Video Search
- Exquisitor at the Video Browser Showdown 2022
- VISIONE at Video Browser Showdown 2022 (Best KIS Visual)
- Videofall – A Hierarchical Search Engine for VBS2022
- ViRMA: Virtual Reality Multimedia Analytics at Video Browser Showdown 2022
- UIT at VBS 2022: an Unified and Interactive video retrieval system with Temporal search
- IVIST: Interactive Video Search Tool in VBS 2022 (Best AVS System)
- diveXplore 6.0: ITEC’s Interactive Video Exploration System at VBS 2022
- CDC: Color-based Diffusion model with Caption embedding in VBS 2022
- AVSeeker: An Active Video Retrieval Engine VBS2022 (Best Newcomer)
- V-FIRST: A Flexible Interactive RetrievalSystem for Video at VBS 2022
VBS2021
- A System for Interactive Multimedia Retrieval Evaluations
- SQL-Like Interpretable Interactive Video Search
- VERGE in VBS 2021
- NoShot Video Browser at VBS2021
- Exquisitor at the Video Browser Showdown 2021: Relationships Between Semantic Classifiers
- VideoGraph – Towards Using Knowledge Graphs for Interactive Video Retrieval
- IVIST: Interactive Video Search Tool in VBS 2021
- Video Search with Collage Queries
- Towards Explainable Interactive Multi-modal Video Retrieval with Vitrivr
- Competitive Interactive Video Retrieval in Virtual Reality with vitrivr-VR
- An Interactive Video Search Tool: A Case Study Using the V3C1 Dataset
- Less is More – diveXplore 5.0 at VBS 2021
- SOMHunter V2 at Video Browser Showdown 2021
- W2VV++ BERT Model at VBS 2021
- VISIONE at Video Browser Showdown 2021
- IVOS – The ITEC Interactive Video Object Search System at VBS2021
- Video Search with Sub-Image Keyword Transfer Using Existing Image Archives
- A VR Interface for Browsing Visual Spaces at VBS2021
VBS2020
- diveXplore 4.0: The ITEC Deep Interactive Video Exploration System at VBS2020
- Combining Boolean and Multimedia Retrieval in vitrivr for Large-Scale Video Search
- An Interactive Video Search Platform for Multi-modal Retrieval with Advanced Concepts
- VIREO @ Video Browser Showdown 2020
- VERGE in VBS 2020
- VIRET at Video Browser Showdown 2020
- SOM-Hunter: Video Browsing with Relevance-to-SOM Feedback Loop (WINNER 2020)
- Exquisitor at the Video Browser Showdown 2020
- Deep Learning-Based Video Retrieval Using Object Relationships and Associated Audio Classes
- IVIST: Interactive Video Search Tool in VBS 2020
VBS2019
In 2019 the following video browsing tools were used:
- VITRIVR: Deep Learning-Based Concept Detection in vitrivr (WINNER 2019)
- VIRET: VIRET Tool Meets NasNet
- VIREO: VIREO @ Video Browser Showdown 2019
- VISIONE: VISIONE at VBS2019
- ITEC: Autopiloting Feature Maps: The Deep Interactive Video Exploration (diveXplore) System at VBS2019
- VERGE: VERGE in VBS 2019
VBS2018
In 2018 the following video browsing tools were used:
- VIREO: Phuong Anh Nguyen, Yi-Jie Lu, Hao Zhang, Chong-Wah Ngo. “Enhanced VIREO KIS at VBS 2018“
- VITRIVR: Luca Rossetto, Ivan Giangreco, Ralph Gasser, Heiko Schuldt. “Competitive Video Retrieval with vitrivr“
- ITEC1: Manfred Jürgen Primus, Bernd Münzer, Andreas Leibetseder and Klaus Schoeffmann. “The ITEC Collaborative Video Search System at the VBS 2018“
Final Notes Paper - ITEC2: Andreas Leibetseder, Sabrina Kletz and Klaus Schoeffmann. “Sketch-based Similarity Search for Collaborative Feature Maps“
- VNU: Thanh-Dat Truong, Vinh-Tiep Nguyen, Minh-Triet Tran, Van-Tien Do, Trang-Vinh Trieu, Thanh Duc Ngo and Duy-Dinh Le. “Video Search Based On Semantic Extraction And Locally Regional Object Proposal“
- SIRET: Jakub Lokoc, Gregor Kovalcik and Tomas Soucek. “Revisiting SIRET Video Retrieval Tool“ (WINNER 2018)
- NECTEC: Sitapa Rujikietgumjorn, Nattachai Watcharapinchai and Sanparith Marukatat. “Sloth Search System“
- VERGE: Anastasia Moumtzidou, Stelios Andreadis, Foteini Markatopoulou, Damianos Galanopoulos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris and Ioannis Patras. “VERGE in VBS 2018“
- HTW: Kai Uwe Barthel, Nico Hezel and Klaus Jung. “Fusing keyword search and visual exploration for untagged videos“
VBS2017
In 2017 the following video browsing tools were used:
- CITYU: Lu, Yi-Jie et al., Concept-Based Interactive Search System
- IMOTION: Luca Rossetto et al., Enhanced Retrieval and Browsing in the IMOTION System (WINNER 2017)
- KLU: Klaus Schoeffmann et al., Collaborative Feature Maps for Interactive Video Search
- SIRET: Adam Blazek et al., VideoHunter at VBS 2017
- UU: Wolfgang Huerst et al., Storyboard-based Video Browsing Using Color and Concept Indices
- VERGE: Anastasia Moumtzidou et al., VERGE in VBS 2017
- VNU/NII: Vinh-Tiep Nguyen et al., Semantic Extraction and Object Proposal for Video Search
VBS2016
In 2016 the following video browsing tools were used:
- IMOTION – Searching for Video Sequences using Multi-Shot Sketch Queries
- iAutoMotion – an Autonomous Content-based Video Retrieval Engine
- Selecting User Generated Content for Use in Media Productions
- VERGE: A Multimodal Interactive Search Engine for Video Browsing and Retrieval
- Collaborative Video Search Combining Video Retrieval with Human-based Visual Inspection
- Multi-sketch Semantic Video Browser
- Faceted Navigation for Browsing Large Video Collection
- Navigating a graph of scenes for exploring large video collections (WINNER 2016)
- Mental Visual Browsing
VBS2015
In 2015 the following video browsing tools were used:
- Graph-Based Browsing for Large Video Collections
- Enhanced Signature-Based Video Browser (WINNER 2015)
- VERGE: A Multimodal Interactive Video Search Engine
- IMOTION — A Content-Based Video Retrieval Engine
- A Storyboard-Based Interface for Mobile Video Browsing
- Collaborative Browsing and Search in Video Archives with Mobile Clients
- The Multi-stripe Video Browser for Tablets
- NII-UIT Browser: A Multimodal Video Search System
- Interactive Known-Item Search Using Semantic Textual and Colour Modalities
VBS2014
In 2014 the following browsing systems were used:
- Audio-Visual Classification Video Browser
- Content-based Video Browsing with Collaborating Mobile Clients
- Browsing Linked Video Collections for Media Production
- VERGE: An Interactive Search Engine for Browsing Video Collections
- Signature-based Video Browser (WINNER 2014)
- NII-UIT: A Tool for Known Item Search by Sequential Pattern Filtering
Best Video Browser 2014
In VBS2014 the Signature-Based Video Browser from the SIRET research group at Charles University in Prague, Czech Republic, won the competition. They provide a download of their tool here (implemented for Windows, with .NET):
siret-vbs-2014.zip.
VBS2013
In 2013 the following browsing systems were used:
- An Approach for Browsing Video Collections in Media Production
- DCU at MMM 2013 Video Browser Showdown
- AAU Video Browser with Augmented Navigation Bars
- NII-UIT-VBS: A Video Browsing Tool for Known Item Search (WINNER 2013)
- VideoCycle: User-Friendly Navigation by Similarity in Video Databases
- Interactive Video Retrieval Using Combination of Semantic Index and Instance Search
VBS2012
In 2012 the following browsing systems were used:
- AAU Video Browser: Non-Sequential Hierarchical Video Browsing without Content Analysis (WINNER 2012)
- Video Browser Showdown by NUS
- Clipboard: A Visual Search and Browsing Engine for Tablet and PC
- OVIDIUS: A Web Platform for Video Browsing and Search
- Hierarchical Navigation and Visual Search for Video Keyframe Retrieval
- A Key-Frame-Oriented Video Browser
- A Video Browsing Tool for Content Management in Media Post-Production
- Video Browsing with a 3D Thumbnail Ring Arranged by Color Similarity