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CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive Querying

arXiv · AI, language, vision and robotics · article · Sep 6, 2026 · UTC

Memory facilitates question answering over long videos by extracting and retrieving facts to fit within the limited context windows of multimodal LLMs (MLLMs). Existing solutions typically extract independent memory entries from fixed-length video clips and thus cannot capture high-level semantics that need to be summarized over extended time periods, such as character traits and relations. Moreover, they rely solely on similarity-based retrieval and may fail to retrieve the fine-grained details required for question answering. To tackle these problems, we propose CAM, featuring continuous ext

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