“Slidin’ Videos”: Slide transition detection and title extraction in lecture videos | AI FOR GOOD
0YouTube’s “Video Chapter” feature segments a video into sections marked by timestamps so that the user can easily navigate to the part of the video which is of most interest. This can be done by clicking or pressing the chapter marker, or by selecting the timestamp in the video description. \n\nIn this problem statement we want to take this feature further. In webinars where speakers present slides, participants of the problem statement are asked to create the best AI model which annotates slide transitions by identifying starting and ending frames of each slide shown in the video & extracting (apparent) titles of each slide.
Shownotes:
0:00:00 Opening remarks
0:03:58 Video chapters
0:09:57 Challenge design
0:15:06 Training dataset
0:30:30 Getting started
0:32:37 Q&A
0:59:28 Closing remarks
1:02:18 Networking\n
Speakers:
Bastiaan Quast, Co-Secretary ITU-WHO Focus Group on AI for Health, International Telecommunication Union
Kirill Ekshembeev, Machine Learning Practitioner
Moderators:
Vishnu Ram OV, Independent Research Consultant, International Telecommunication Union (ITU)
Miya Nishio, Student, University of Tokyo
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