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English(EN) Concord: A Video Relational Algebra for Cross-Modal Query Optimization

新的视频关系代数优化多模态LLM查询

研究人员开发了Concord系统,通过引入视频关系代数(VRA)来优化语义视频查询。这种新的代数允许对视频、字幕和对象跟踪进行操作,旨在降低多模态大语言模型(MLLM)处理查询的计算成本并提高准确性。Concord采用诸如使用字幕而非完整视频分析或使用检测和跟踪进行跨摄像头查询等优化方法,显著降低了MLLM的处理时间和成本。 AI

影响 这项研究可以显著降低使用多模态LLM查询视频数据的计算成本并提高效率。

排序理由 该集群包含一篇详细介绍用于LLM视频查询优化的新系统和代数的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的视频关系代数优化多模态LLM查询

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该集群包含一篇详细介绍用于LLM视频查询优化的新系统和代数的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sultan Muratbek, Charisse Ivana Yeung, Chanwut Kittivorawong, Alvin Cheung ·

    Concord:一种用于跨模态查询优化的视频关系代数

    arXiv:2609.05756v1 Announce Type: cross Abstract: Semantic video queries let users embed natural language prompts and use multimodal large language models (MLLMs) to interpret the video. Such queries are increasingly popular for querying video data. However, their expressiveness …