RESEARCH
NLP
A Dataset for Telling the Stories of Social Media Videos
October 31, 2018
Abstract
Video content on social media platforms constitutes a major part of the communication between people, as it allows everyone to share their stories. However, if someone is unable to consume video, either due to a disability or network bandwidth, this severely limits their participation and communication. Automatically telling the stories using multi-sentence descriptions of videos would allow bridging this gap. To learn and evaluate such models, we introduce VideoStory, a new large-scale sourced dataset for video description as a new challenge for multi-sentence video description. Our VideoStory captions dataset is complementary to prior work and contains 20k videos posted publicly on a social media platform amounting to 396 hours of video with 123k sentences, temporally aligned to the video.
AUTHORS
Written by
Marcus Rohrbach
Mike Lewis
Spandana Gella
Publisher
EMNLP
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