Abstract
In this paper, we present an interactive video browser tool for our participation in the fourth video search showcase event. Learning from previous experience, this year we focused on building an advanced interactive interface which allows users to quickly generate and combine different styles of query to find relevant video segments. The system offers the user a comprehensive search interface which has as key features: keyword search, color-region search and human face filtering.
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CITATION STYLE
Zhang, Z., Albatal, R., Gurrin, C., & Smeaton, A. F. (2015). Interactive known-item search using semantic textual and colour modalities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8936, pp. 282–286). Springer Verlag. https://doi.org/10.1007/978-3-319-14442-9_29
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