English(EN) A Low-Latency Interactive System for Real-Time Video Understanding Based on VLMs

新系统支持基于VLMs的实时视频理解

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-12 14:59

研究人员开发了一种新颖的系统，旨在利用视觉语言模型（VLMs）进行实时视频理解。该系统集成了轻量级客户端和服务器运行时，负责语音识别、文本到语音转换、会话编排和响应交付。其目标是降低交互式VLM应用的延迟，实现首个VLM文本响应约0.9至1.0秒，首个非静音音频响应约1.3至1.5秒。 AI

影响支持更多响应迅速、交互性强的视频分析应用。

排序理由该条目是一篇研究论文，详细介绍了一种使用VLMs进行视频理解的新系统。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

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Newsworthiness bucket: Tool; 该条目是一篇研究论文，详细介绍了一种使用VLMs进行视频理解的新系统。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Li Song · 2026-09-12 14:59

基于VLMs的低延迟交互式实时视频理解系统

Vision-language models are extending video understanding from offline clip analysis to continuous interactive streaming, but most research still emphasizes model capability rather than deployable low-latency interaction. This paper presents a unified edge-cloud system for real-ti…