TITLE: Recent Advances in Video Question Answering: A Review of Datasets and Methods 

ABSTRACT: Video Question Answering (VQA) is a recent emerging challenging task in the
field of Computer Vision. Several visual information retrieval techniques like
Video Captioning/Description and Video-guided Machine Translation have preceded
the task of VQA. VQA helps to retrieve temporal and spatial information from
the video scenes and interpret it. In this survey, we review a number of
methods and datasets for the task of VQA. To the best of our knowledge, no
previous survey has been conducted for the VQA task.
Video Question Answering (VQA) is a recent emerging challenging task in the
field of Computer Vision. Several visual information retrieval techniques like
Video Captioning/Description and Video-guided Machine Translation have preceded
the task of VQA. VQA helps to retrieve temporal and spatial information from
the video scenes and interpret it. In this survey, we review a number of
methods and datasets for the task of VQA. To the best of our knowledge, no
previous survey has been conducted for the VQA task.
Recent Advances in Video Question Answering: A Review of Datasets and Methods
http://arxiv.org/abs/2101.05954v2