LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing

arXiv:2402.10294v1 Announce Type: cross
Abstract: Video creation has become increasingly popular, yet the expertise and effort required for editing often pose barriers to beginners. In this paper, we explore the integration of large language models (LLMs) into the video editing workflow to reduce these barriers. Our design vision is embodied in LAVE, a novel system that provides LLM-powered agent assistance and language-augmented editing features. LAVE automatically generates language descriptions for the user's footage, serving as the foundation for enabling the …

abstract agent arxiv augmentation become beginners cs.ai cs.cl cs.hc cs.mm design editing embodied expertise explore integration language language models large language large language models llm llms paper popular reduce type video video creation vision workflow