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.
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