Abstract
We present our video search system for the Video Browser Showdown (VBS) 2018 competition. It is based on the collaborative system used in 2017, which already performed well but also revealed high potential for improvement. Hence, based on our experience we introduce several major improvements, particularly (1) a strong optimization of similarity search, (2) various improvements for concept-based search, (3) a new flexible video inspector view, and (4) extended collaboration features, as well as numerous minor adjustments and enhancements, mainly concerning the user interface and means of user interaction. Moreover, we present a spectator view that visualizes the current activity of the team members to the audience to make the competition more attractive.
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CITATION STYLE
Primus, M. J., Münzer, B., Leibetseder, A., & Schoeffmann, K. (2018). The itec collaborative video search system at the video browser showdown 2018. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10705 LNCS, pp. 438–443). Springer Verlag. https://doi.org/10.1007/978-3-319-73600-6_47
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