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Paper · arXiv

VideoAtlas: Navigating Long-Form Video in Logarithmic Compute

Extending language models to video introduces two challenges: representation, where existing methods rely on lossy approximations, and long-context, where caption- or agent-based pipelines collapse video into text and lose visual fidelity. To overcome this, we introduce \textbf{VideoAtlas}, a task-agnostic environment to represent video as a hierarchical grid that is simultaneously lossless, navigable, scalable, caption- and preprocessing-free. An overview of the video is available at a glance, and any region can be recursively zoomed into, with the same visual representation used uniformly for the video, intermediate investigations, and the agent's memory, eliminating lossy text conversi...

AuthorsMohamed Eltahir, Ali Habibullah, Yazan Alshoibi et al.
Primary categorycs.CV
Published18 March 2026
Last updated at source18 March 2026
cs.CVcs.AI
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