Data Skeptic

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 HowTo100m dataset - a project which has assembled a video corpus of 136M video clips with captions covering 23k activities.

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The paper will be presented at ICCV 2019

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Direct download: building-the-howto100m-video-corpus.mp3
Category:general -- posted at: 1:12pm PDT

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