Building the howto100m Video Corpus
Video annotation is an expensive and time-consuming process. As a consequence, the available video datasets are useful but small. The availability of machine transcribed explainer videos offers a unique opportunity to rapidly develop a useful, if dirty, corpus of videos that are "self annotating", as hosts explain the actions they are taking on the screen.
This episode is a discussion of the\xa0HowTo100m\xa0dataset - a project which has assembled a video corpus of 136M video clips with captions covering 23k activities.
Related LinksThe paper will be presented at\xa0ICCV 2019