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.
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