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Video Browser Showdown 2018

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Video Browser Showdown 2018

  1. 1. 1 Werner Bailer, Cathal Gurrin, Jakub Lokoč, Klaus Schoeffmann
  2. 2.  Video search competition (annually at MMM)  Demonstrates and evaluates state-of-the-art interactive video retrieval tools  Participating teams solve retrieval tasks  Systems are connected to the VBS Server  Presents tasks in live manner  Evaluates submitted results of teams (penalty for false submissions)
  3. 3.  HTW: Kai Uwe Barthel, Nico Hezel and Klaus Jung. “Fusing keyword search and visual exploration for untagged videos“  ITEC1: Manfred Jürgen Primus, Bernd Münzer, Andreas Leibetseder and Klaus Schoeffmann. “The ITEC Collaborative Video Search System at the VBS 2018“  ITEC2: Andreas Leibetseder, Sabrina Kletz and Klaus Schoeffmann. “Sketch-based Similarity Search for Collaborative Feature Maps“  NECTEC: Sitapa Rujikietgumjorn, Nattachai Watcharapinchai and Sanparith Marukatat. “Sloth Search System“  SIRET: Jakub Lokoc, Gregor Kovalcik andTomas Soucek. “Revisiting SIRETVideo RetrievalTool“ 3Video browser showdown 2018, Bangkok
  4. 4.  VERGE: Anastasia Moumtzidou, Stelios Andreadis, Foteini Markatopoulou, Damianos Galanopoulos, Ilias Gialampoukidis, StefanosVrochidis,Vasileios Mezaris, Ioannis Kompatsiaris and Ioannis Patras. “VERGE inVBS 2018“  VIREO: Phuong Anh Nguyen,Yi-Jie Lu, Hao Zhang, Chong-Wah Ngo. “Enhanced VIREO KIS atVBS 2018“  VITRIVR: Luca Rossetto, Ivan Giangreco, Ralph Gasser, Heiko Schuldt. “Competitive Video Retrieval with vitrivr“  VNU:Thanh-DatTruong,Vinh-Tiep Nguyen, Minh-Triet Tran,Van- Tien Do,Trang-VinhTrieu,Thanh Duc Ngo and Duy-Dinh Le. “Video Search Based On Semantic Extraction And Locally Regional Object Proposal“ 4Video browser showdown 2018, Bangkok
  5. 5.  IACC.3 -TRECVID (2016-2017)  144 GB  4593 video files  Low visual quality  600 hours of content  Each ~6-10 minutes  > 300.000 shots
  6. 6. Single target (20 secs)
  7. 7. “Steve’s cutting a drawing into his block of wood.You can see his hands, a cutter, and flower symbols.” Single target (20 secs)
  8. 8. “A person playing guitar outdoors” 8Video browser showdown 2018, Bangkok Multiple targets (shots)
  9. 9.  Expert Run  5 textual KIS tasks  5 visual KIS tasks  5 AVS tasks  Novice Run  5 visual KIS tasks  5 AVS tasks 9Video browser showdown 2018, Bangkok Winner gets 100 points Winner gets 100 points Winner gets 100 points Winner gets 100 points Winner gets 100 points  Overall score = AVERAGE
  10. 10. 10Video browser showdown 2018, Bangkok Textual KIS
  11. 11. 11Video browser showdown 2018, Bangkok AVS
  12. 12. 12Video browser showdown 2018, Bangkok
  13. 13.  VISUAL KIS  Video scene in the loop –VBS participant knows the known-item  Problem – photographic memory not realistic -> THE SCENE GETS BLURRED  TEXTUAL KIS  Difficult task - only 3 solved in 2017 -> more text appears in time  AVSTASKS  The same settings 13Video browser showdown 2018, Bangkok
  14. 14. previous new 14Video browser showdown 2018, Bangkok Time penalty Wrong submission penalty 𝑇𝑃 max(1, |𝑊𝑆| − 1) 𝑇𝑃 − 𝑊𝑆 ∗ 𝑐 Time limit for visual tasks 5 minutes and textual KIS 7 minutes No wrong submission for free
  15. 15.  Precision/recall based measure, time limit 5 minutes  Normalization  Novice RUNS  Each team can select and train a bit some novice user  Novice runs only for visual KIS andAVS (existingTRECVid ones) 15Video browser showdown 2018, Bangkok
  16. 16.  Let‘s thank the local organizers of MMM for making this session happen! 17Video browser showdown 2018, Bangkok

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