SOM-Hunter: Video Browsing with Relevance-to-SOM Feedback Loop
MMM (2), pp. 790-795, 2020.
This paper presents a prototype video retrieval engine focusing on a simple known-item search workflow, where users initialize the search with a query and then use an iterative approach to explore a larger candidate set. Specifically, users gradually observe a sequence of displays and provide feedback to the system. The displays are dynam...More
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Best Paper of MMM, 2020