MovieQA: Understanding Stories in Movies through Question-Answering

CVPR 2016 Makarand TapaswiYukun ZhuRainer StiefelhagenAntonio TorralbaRaquel UrtasunSanja Fidler

We introduce the MovieQA dataset which aims to evaluate automatic story comprehension from both video and text. The dataset consists of 14,944 questions about 408 movies with high semantic diversity... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.