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Interactive Search or Sequential Browsing? A Detailed Analysis of the VBS 2018

Lokoc, Jakub and Kovalcic, 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. (2019) Interactive Search or Sequential Browsing? A Detailed Analysis of the VBS 2018. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 15 (1). p. 29.

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Official URL: https://edoc.unibas.ch/68623/

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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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Gasser, Ralph
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:ACM
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:05 Aug 2020 15:12
Deposited On:05 Aug 2020 15:12

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