📄 中文摘要
构建可扩展的多模态视频搜索系统，实现对大型视频数据集的自然语言搜索，使用 Amazon Nova 模型和 Amazon OpenSearch 服务。通过这种方法，能够超越传统的手动标记和基于关键词的搜索，支持语义搜索，全面捕捉视频内容的丰富性。这一系统不仅提高了搜索的准确性，还能更好地满足用户对视频内容的需求，推动媒体和娱乐行业的创新与发展。
大规模多模态嵌入：媒体和娱乐工作负载的 AI 数据湖
📄 English Summary
Multimodal embeddings at scale: AI data lake for media and entertainment workloads
A scalable multimodal video search system is built to enable natural language search across large video datasets using Amazon Nova models and Amazon OpenSearch Service. This approach moves beyond manual tagging and keyword-based searches to facilitate semantic search that captures the full richness of video content. The system enhances search accuracy and better meets user demands for video content, driving innovation and development in the media and entertainment industry.