A short historical overview over the last rounds of the Video Browser Showdown together with some advice on developing interactive video search tools are given in Section 8. The results for the textual expert round are presented in Section 6 and the ones for the novice round in Section 7. A detailed analysis of the results for visual expert rounds is presented in Section 5. Section 4 provides short descriptions of the participating tools. Section 3 makes an overview of both the presented tasks and of the obtained results. Section 2 gives a short description of the competition. The remainder of the paper is organized as follows. Based on this, we make several proposals for highly promising approaches to be used with future iterations of this interactive video retrieval competition. Further, we reflect on the achieved results so far, give detailed insights on the reasons why specific tools and methods worked better or worse, and subsume the experience and observations from the perspective of the organisers. Details of the data set and the participating tools are presented, as well as their achieved performance in terms of score and search time. Our observations highlight different aspects of the performance and provide insight into better interface development for interactive video search. In this paper we provide an overview of the participating tools along with a detailed analysis of the results. The interested reader is referred to other surveys in this field, such as. Of course, there are many other relevant and related tools in the fields of interactive video search, video interaction, and multimedia search, which are however out of the scope of this paper. In for example, an interactive system for human action video search based on the dynamic shape volumes is developed – the user can create video queries by posing any number of actions in front of a Kinect sensor. Other interesting approaches include using additional capturing devices such as the Kinect sensor in conjunction with human action video search, exercise learning in the field of healthcare or interactive systems for video search. This is important since it has been shown that user can give good performances even with very simple tools, e.g. Hence, even if the performance of content analysis is not optimal, there is a chance that the user could compensate shortcomings through ingenious use of available features. Contrarily to typical video retrieval, such interactive video browsing tools give more control to the user and provide flexible search features, instead of focusing on the query-and-browse-results approach. It is known as the interactive process of video content exploration with browsing means, such as content navigation, summarization, on-demand querying, and interactive inspection of querying results or filtered content.
Interactive video search follows the idea of strong user integration with sophisticated content interaction and aims at providing a powerful alternative to the common video retrieval approach. Therefore, the main goal of the Video Browser Showdown is to push research on interactive video search tools. Instead of pursuing rather small improvements in the field of content-based indexing and retrieval, video search tools should aim at better integration of the human into the search process, focusing on interactive video retrieval rather than automatic querying. Researchers in the multimedia community agree that content-based image and video retrieval approaches should have a stronger focus on the user behind the retrieval application. The VBS is an annual workshop at the International Conference on MultiMedia Modeling (MMM) with that goal in mind. With video getting omnipresent in regular consumers lives, it becomes increasingly important though to also include the user into the search process. Typical efforts in video retrieval focus mainly on indexing and machine-based search performance, for example, by measuring precision and recall with a test data set. The Video Browser Showdown (VBS), also known as Video Search Showcase, is an interactive video search competition where participating teams try to answer ad-hoc queries in a shared video data set as fast as possible.
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