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Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization
2020
TREC Video Retrieval Evaluation
This paper describes a fan-driven and character-centered approach proposed by the MeMAD team for the 2020 TRECVID [Awad et al. 2020] Video Summarization Task. Our approach relies on fan-made content and, more precisely, on the BBC EastEnders episode synopses from its Fandom Wiki 1 . This additional data source is used together with the provided videos, scripts and master shot boundaries. We also use BBC EastEnders characters' images crawled from the Google search engine in order to train a face
dblp:conf/trecvid/HarrandoRLTLVK20
fatcat:dihlrb7bxbesvnvuxjvldrlpz4