VideoSticker: New App Uses AI To Help Students Take Rich Notes from Video Lessons

Hari Subramonyam, a research professor in the Stanford Graduate School of Education and a junior faculty fellow of the Stanford Institute for Human-Centered Artificial Intelligence with two colleagues, Yining Cao from the University of California, San Diego, and Eytan Adar at the University of Michigan, have harnessed computer vision and natural language processing tools to develop VideoSticker, a note-taking application specifically for video-based learning.

VideoSticker combines video, audio, transcripts, and a powerful visual and a textual note-taking application. Better yet, using AI, VideoSticker can automatically identify and trim objects out of the video and place them in the note-taking area. VideoSticker then combs through the transcripts using tools like those behind popular voice recognition and chatbots to pull key text into the note-taking area, aligning it with the relevant imagery.

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