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SVMemAgent: A Streaming Video Memory Agent for Query-Agnostic Online Frame Selection
Most keyframe selection studies focus on offline settings, assuming access to the full video and query in advance. In contrast, real-world streaming scenarios require online frame selection under unknown video duration, without access to either the query or future frames during selection. To address this, we introduce Streaming Video Memory (SVMem), a compact and representative memory of previously observed content, updated continuously as the video stream unfolds. Building on this setting, we propose the Streaming Video Memory Agent (SVMemAgent), which dynamically maintains a memory by decidi
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- arXiv · AI, language, vision and robotics · 2026-09-16T12:04:53.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.