Representation Learning on Visual-Symbolic Graphs for Video Understanding

ECCV 2020 Effrosyni MavroudiBenjamín Béjar HaroRené Vidal

Events in natural videos typically arise from spatio-temporal interactions between actors and objects and involve multiple co-occurring activities and object classes. To capture this rich visual and semantic context, we propose using two graphs:(1) an attributed spatio-temporal visual graph whose nodes correspond to actors and objects and whose edges encode different types of interactions, and (2) a symbolic graph that models semantic relationships... (read more)

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