Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Videos

• URL: http://arxiv.org/abs/2411.08753v1
• Date: Wed, 13 Nov 2024 16:31:08 GMT
• Title: Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Videos
• Authors: Sagnik Majumder, Tushar Nagarajan, Ziad Al-Halah, Reina Pradhan, Kristen Grauman,
• Abstract summary: Key hypothesis is that the more accurately an individual view can predict a view-agnostic text summary, the more informative it is. We propose a framework that uses the relative accuracy of view-dependent caption predictions as a proxy for best view pseudo-labels. During inference, our model takes as input only a multi-view video -- no language or camera poses -- and returns the best viewpoint to watch at each timestep.
• Score: 66.1935609072708
• License:
• Abstract: Given a multi-view video, which viewpoint is most informative for a human observer? Existing methods rely on heuristics or expensive ``best-view" supervision to answer this question, limiting their applicability. We propose a weakly supervised approach that leverages language accompanying an instructional multi-view video as a means to recover its most informative viewpoint(s). Our key hypothesis is that the more accurately an individual view can predict a view-agnostic text summary, the more informative it is. To put this into action, we propose a framework that uses the relative accuracy of view-dependent caption predictions as a proxy for best view pseudo-labels. Then, those pseudo-labels are used to train a view selector, together with an auxiliary camera pose predictor that enhances view-sensitivity. During inference, our model takes as input only a multi-view video -- no language or camera poses -- and returns the best viewpoint to watch at each timestep. On two challenging datasets comprised of diverse multi-camera setups and how-to activities, our model consistently outperforms state-of-the-art baselines, both with quantitative metrics and human evaluation.

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