Step Differences in Instructional Video

• URL: http://arxiv.org/abs/2404.16222v2
• Date: Thu, 27 Jun 2024 19:02:24 GMT
• Title: Step Differences in Instructional Video
• Authors: Tushar Nagarajan, Lorenzo Torresani,
• Abstract summary: We propose an approach that generates visual instruction tuning data involving pairs of videos from HowTo100M. We then trains a video-conditioned language model to jointly reason across multiple raw videos. Our model achieves state-of-the-art performance at identifying differences between video pairs and ranking videos.
• Score: 34.551572600535565
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Comparing a user video to a reference how-to video is a key requirement for AR/VR technology delivering personalized assistance tailored to the user's progress. However, current approaches for language-based assistance can only answer questions about a single video. We propose an approach that first automatically generates large amounts of visual instruction tuning data involving pairs of videos from HowTo100M by leveraging existing step annotations and accompanying narrations, and then trains a video-conditioned language model to jointly reason across multiple raw videos. Our model achieves state-of-the-art performance at identifying differences between video pairs and ranking videos based on the severity of these differences, and shows promising ability to perform general reasoning over multiple videos. Project page: https://github.com/facebookresearch/stepdiff

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