Abstract: The last decade has seen innovations that make video
recording, manipulation, storage, and sharing easier than ever
before, thus impacting many areas of life. New video retrieval
scenarios emerged as well, which challenge the state-of-the-art
video retrieval approaches. Despite recent advances in content
analysis, video retrieval can still benefit from involving the
human user in the loop. We present our experience with a class
of interactive video retrieval scenarios and our methodology
to stimulate the evolution of new interactive video retrieval
approaches. More specifically, the video browser showdown
evaluation campaign is thoroughly analyzed, focusing on the
years 2015–2017. Evaluation scenarios, objectives, and metrics are
presented, complemented by the results of the annual evaluations.
The results reveal promising interactive video retrieval techniques
adopted by the most successful tools and confirm assumptions
about the different complexity of various types of interactive
retrieval scenarios. A comparison of the interactive retrieval tools
with automatic approaches (including fully automatic and manual
query formulation) participating in the TRECVID 2016 ad hoc
video search task is discussed. Finally, based on the results of data
analysis, a substantial revision of the evaluation methodology for
the following years of the video browser showdown is provided
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