SOURCE-LINKED INTELLIGENCE
Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs
Video understanding has rapidly evolved toward video large language models (VideoLLMs): systems that couple video representations with pretrained large language models and condition generation on a textual prompt. Their strong performance on captioning, question answering, retrieval and temporal grounding comes at a computation and memory cost that grows with frame count and context length, limiting deployment in real-time, mobile and resource-constrained settings. This survey covers inference-efficiency mechanisms for visual and audiovisual VideoLLMs that report concrete reductions in paramet
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T15:50:39.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.