  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.
