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

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

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 infor...

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Veröffentlicht in:arXiv.org 2021-03
Hauptverfasser: Patel, Devshree, Parikh, Ratnam, Shastri, Yesha
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Computer Vision and Pattern Recognition
Computer vision
Datasets
Information retrieval
Machine translation
Questions
Spatial data
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Zusammenfassung: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.
ISSN:2331-8422
DOI:10.48550/arxiv.2101.05954