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Abstract: This paper introduces a unified edge-cloud system for real-time video vision-language model applications.
Vision-language models are extending video understanding from offline clip analysis to continuous interactive streaming, but most research still emphasises model capability rather than deployable low-latency interaction. This paper presents a unified edge-cloud system for real-time video VLM applications.
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