% Bailer, Werner
% Encoding: utf-8
@InProceedings{Schoeffmann2019d,
  author = {Lokoc, Jakub and Schöffmann, Klaus and Bailer, Werner and Rossetto, Luca and Gurrin, Cathal},
  booktitle = {Proceedings of the ACM International Conference on Multimedia Retrieval},
  title = {{Interactive Video Retrieval in the Age of Deep Learning}},
  year = {2019},
  address = {New York, NY},
  month = {Juni},
  pages = {2--4},
  publisher = {ACM - New York},
  doi = {10.1145/3323873.3326588},
  url = {https://dl.acm.org/doi/10.1145/3323873.3326588}
}
@Article{Muenzer_Schoeffmann_2019,
  author = {Lokoc, Jakub and Kovalcik, Gregor and Münzer, Bernd and Schöffmann, Klaus and Bailer, Werner and Gasser, Ralph and Vrochidis, Stefanos and Nguyen, Phuong Anh and Rujikietgumjorn, Sitapa and Barthel, Kai Uwe},
  journal = {ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)},
  title = {{Interactive Search or Sequential Browsing? A Detailed Analysis of the Video Browser Showdown 2018}},
  year = {2019},
  month = {Februar},
  pages = {1--26},
  volume = {15},
  abstract = {This work summarizes the findings of the 7th iteration of the Video Browser Showdown (VBS) competition organized as a workshop at the 24th International Conference on Multimedia Modeling in Bangkok. The competition focuses on video retrieval scenarios in which the searched scenes were either previously observed or described by another person (i.e., an example shot is not available). During the event, nine teams competed with their video retrieval tools in providing access to a shared video collection with 600 hours of video content. Evaluation objectives, rules, scoring, tasks, and all participating tools are described in the article. In addition, we provide some insights into how the different teams interacted with their video browsers, which was made possible by a novel interaction logging mechanism introduced for this iteration of the VBS. The results collected at the VBS evaluation server confirm that searching for one particular scene in the collection when given a limited time is still a challenging task for many of the approaches that were showcased during the event. Given only a short textual description, finding the correct scene is even harder. In ad hoc search with multiple relevant scenes, the tools were mostly able to find at least one scene, whereas recall was the issue for many teams. The logs also reveal that even though recent exciting advances in machine learning narrow the classical semantic gap problem, user-centric interfaces are still required to mediate access to specific content. Finally, open challenges and lessons learned are presented for future VBS events.},
  doi = {10.1145/3295663},
  url = {https://dl.acm.org/doi/10.1145/3295663}
}
@InProceedings{Schoeffmann2018c,
  author = {Schöffmann, Klaus and Bailer, Werner and Gurrin, Cathal and Awad, George M. and Lokoč, Jakub},
  title = {{Interactive Video Search: Where is the User in the Age of Deep Learning?}},
  booktitle = {MM '18 Proceedings of the 26th ACM international conference on Multimedia},
  year = {2018},
  pages = {2101--2103},
  address = {New York (NY)},
  month = {Oktober},
  publisher = {ACM Press},
  abstract = {In this tutorial we discuss interactive video search tools and methods, review their need in the age of deep learning, and explore video and multimedia search challenges and their role as evaluation benchmarks in the field of multimedia information retrieval. We cover three different campaigns (TRECVID, Video Browser Showdown, and the Lifelog Search Challenge), discuss their goals and rules, and present their achieved findings over the last half-decade. Moreover, we talk about datasets, tasks, evaluation procedures, and examples of interactive video search tools, as well as how they evolved over the years. Participants of this tutorial will be able to gain collective insights from all three challenges and use them for focusing their research efforts on outstanding problems that still remain unsolved in this area.},
  doi = {10.1145/3240508.3241473},
  url = {https://dl.acm.org/citation.cfm?id=3241473}
}
@InProceedings{Lokoc2018a,
  author = {Lokoč, Jakub and Bailer, Werner and Schöffmann, Klaus},
  title = {{What is the Role of Similarity for Known-Item Search at Video Browser Showdown? }},
  booktitle = {SISAP 2018: Similarity Search and Applications},
  year = {2018},
  pages = {96--104},
  address = {Berlin},
  month = {Oktober},
  publisher = {Springer},
  abstract = {Across many domains, machine learning approaches start to compete with human experts in tasks originally considered as very difficult for automation. However, effective retrieval of general video shots still represents an issue due to their variability, complexity and insufficiency of training sets. In addition, users can face problems trying to formulate their search intents in a given query interface. Hence, many systems still rely also on interactive human-machine cooperation to boost effectiveness of the retrieval process. In this paper, we present our experience with known-item search tasks in the Video Browser Showdown competition, where participating interactive video retrieval systems mostly rely on various similarity models. We discuss the observed difficulty of known-item search tasks, categorize employed interaction components (relying on similarity models) and inspect successful interactive known-item searches from the recent iteration of the competition. Finally, open similarity search challenges for known-item search in video are presented.},
  doi = {10.1007/978-3-030-02224-2_8},
  url = {https://link.springer.com/chapter/10.1007%2F978-3-030-02224-2_8}
}
@Article{SchoeffmannIJMIR2013,
  author = {Schoeffmann, Klaus and Ahlström, David and Bailer, Werner and Cobarzan, Claudiu and Hopfgartner, Frank and McGuinness, Kevin and Gurrin, Cathal and Frisson, Christian and Le, Duy-Dinh and Del Fabro, Manfred and Bai, Hongliang and Weiss, Wolfgang},
  journal = {International Journal of Multimedia Information Retrieval},
  title = {The Video Browser Showdown: a live evaluation of interactive video search tools},
  year = {2013},
  month = {dec},
  pages = {1-15},
  address = {Berlin, Germany},
  language = {EN},
  publisher = {Springer}
}
@InProceedings{Bailer2013,
  author = {Bailer, Werner and Schoeffmann, Klaus and Ahlström, David and Weiss, Wolfgang and Del Fabro, Manfred},
  booktitle = {Advances in Multimedia Modeling},
  title = {Interactive Evaluation of Video Browsing Tools},
  year = {2013},
  address = {Berlin Heidelberg},
  editor = {Li, Shipeng and El-Saddik, Abdulmotaleb and Wang, Meng and Mei, Tao and Sebe, Nicu and Yan, Shuicheng and Hong, Richang and Gurrin, Cathal},
  month = {jan},
  pages = {81-91},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science Volume 7732},
  abstract = {The Video Browser Showdown (VBS) is a live competition for evaluating video browsing tools regarding their efficiency at known-item search (KIS) tasks. The first VBS was held at MMM 2012 with eight teams working on 14 tasks, of which eight were completed by expert users and six by novices. We describe the details of the competition, analyze results regarding the performance of tools, the differences between the tasks and the nature of the false submissions.},
  doi = {10.1007/978-3-642-35728-2_9},
  isbn10 = {978-3-642-35724-4},
  isbn13 = {978-3-642-35725-1},
  language = {EN},
  location = {Huangshan, China},
  subtitle = {19th International Conference, MMM 2013, Huangshan, China, January 7-9, 2013, Proceedings, Part I},
  talkdate = {2013.01.07},
  talktype = {registered}
}
@InCollection{BailerTVCA2012,
  author = {Bailer, Werner and Schoeffmann, Klaus and Hopfgartner, Frank},
  booktitle = {TV Content Analysis: Techniques and Applications},
  publisher = {Auerbach Publications},
  title = {A Survey of Advanced Content Management Tools for TV Postproduction},
  year = {2012},
  address = {CRC Press / Taylor and Francis, Albert House, 4th Floor, 1-4 Singer Street, London, EC2A 4BQ, UK},
  editor = {Kompatsiaris, Yiannis and Merialdo, Bernard and Lian, Shiguo},
  month = {mar},
  pages = {674},
  isbn13 = {9781439855607},
  language = {EN}
}
@InCollection{Bailer2008,
  author = {Bailer, Werner and Brunie, Lionel and Döller, Mario and Granitzer, Michael and Klamma, Ralf and Kosch, Harald and Lux, Mathias and Spaniol, Marc},
  booktitle = {Encyclopedia of Multimedia},
  publisher = {Springer},
  title = {Multimedia Metadata Standards},
  year = {2008},
  address = {Berlin, Heidelberg, New York},
  edition = {2},
  editor = {Furht, Borko},
  month = sep,
  pages = {568-575},
  issn = {9780387747248},
  language = {EN},
  url = {http://www.springer.com/computer/information+systems+and+applications/book/978-0-387-74724-8}
}