Recent Advances in Video Question Answering: A Review of Datasets and Methods
arXiv:2101.05954 · doi:10.1007/978-3-030-68790-8_27
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.
18 pages, 5 tables, Video and Image Question Answering Workshop, 25th International Conference on Pattern Recognition