This paper offers an insightful examination of how currently top-trending AI
technologies, i.e., generative artificial intelligence (Generative AI) and
large language models (LLMs), are reshaping the field of video technology,
including video generation, understanding, and streaming. It highlights the
innovative use of these technologies in producing highly realistic videos, a
significant leap in bridging the gap between real-world dynamics and digital
creation. The study also delves into the advanced capabilities of LLMs in video
understanding, demonstrating their effectiveness in extracting meaningful
information from visual content, thereby enhancing our interaction with videos.
In the realm of video streaming, the paper discusses how LLMs contribute to
more efficient and user-centric streaming experiences, adapting content
delivery to individual viewer preferences. This comprehensive review navigates
through the current achievements, ongoing challenges, and future possibilities
of applying Generative AI and LLMs to video-related tasks, underscoring the
immense potential these technologies hold for advancing the field of video
technology related to multimedia, networking, and AI communities.

本研究综述了生成人工智能（Generative AI）和大语言模型（LLMs）在视频技术领域中的应用，包括视频生成、理解和流媒体，强调了这些技术在产生高度逼真视频方面的创新应用，在实现现实世界动态与数字创作之间存在重大差距的时候迈出了重要一步。同时，作者还深入探讨了 LLMs 在视频理解方面的先进能力，展示了它们从视觉内容中提取有意义信息的有效性，从而提升了我们与视频的互动。在视频流媒体领域，本文讨论了 LLMs 如何为更高效、以用户为中心的流媒体体验做出贡献，将内容传递适应个体观众的偏好。通过梳理生成 AI 和 LLMs 在与多媒体、网络和人工智能社区相关的视频技术任务中的当前成就、持续挑战和未来可能性，本文突显出这些技术在推动视频技术领域发展方面的巨大潜力。