ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

Understand

Recent developments in modeling language and vision have been successfully applied to image question answering.

• It is both crucial and natural to extend this research direction to the video domain for video question answering (VideoQA).
• Compared to the image domain where large scale and fully annotated benchmark datasets exists, VideoQA datasets are limited to small scale and are automatically generated, etc.
• These limitations restrict their applicability in practice.