Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
102 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Recent Advances in Video Question Answering: A Review of Datasets and Methods (2101.05954v2)

Published 15 Jan 2021 in cs.CV

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.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (3)
  1. Devshree Patel (2 papers)
  2. Ratnam Parikh (2 papers)
  3. Yesha Shastri (2 papers)
Citations (16)