Video Story QA
2 papers with code • 1 benchmarks • 1 datasets
MCQ about clips from movies/tvshows/etc
Latest papers with no code
Progressive Attention Memory Network for Movie Story Question Answering
To overcome these challenges, PAMN involves three main features: (1) progressive attention mechanism that utilizes cues from both question and answer to progressively prune out irrelevant temporal parts in memory, (2) dynamic modality fusion that adaptively determines the contribution of each modality for answering the current question, and (3) belief correction answering scheme that successively corrects the prediction score on each candidate answer.
DeepStory: Video Story QA by Deep Embedded Memory Networks
This is mainly due to 1) the reconstruction of video stories in a scene-dialogue combined form that utilize the latent embedding and 2) attention.