1. 1
Werner Bailer, Cathal Gurrin, Jakub Lokoč, Klaus Schoeffmann

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.  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.  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.  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. Single target (20 secs)

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. “A person playing guitar outdoors”
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Multiple targets (shots)

9.  Expert Run
 5 textual KIS tasks
 5 visual KIS tasks
 5 AVS tasks
 Novice Run
 5 visual KIS tasks
 5 AVS tasks
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Winner gets 100 points
Winner gets 100 points
Winner gets 100 points
Winner gets 100 points
Winner gets 100 points
 Overall score = AVERAGE

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Textual KIS

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AVS

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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
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14. previous new
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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.  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

17.  Let‘s thank the local organizers of MMM for making this
session happen!
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