This paper provides a comprehensive review of diffusion model-based video editing techniques, covering theoretical foundations and practical applications. It begins by outlining the mathematical formulation and key methods in image domain, followed by categorizing video editing approaches based on their core technologies. The paper also introduces novel applications such as point-based editing and pose-guided human video editing. A new benchmarking tool, V2VBench, is presented to evaluate these methods. Finally, the paper discusses ongoing challenges and potential future research directions. The review highlights the evolution of video editing techniques and their impact on various applications, emphasizing the need for detailed surveys to stay informed about recent advancements.This paper provides a comprehensive review of diffusion model-based video editing techniques, covering theoretical foundations and practical applications. It begins by outlining the mathematical formulation and key methods in image domain, followed by categorizing video editing approaches based on their core technologies. The paper also introduces novel applications such as point-based editing and pose-guided human video editing. A new benchmarking tool, V2VBench, is presented to evaluate these methods. Finally, the paper discusses ongoing challenges and potential future research directions. The review highlights the evolution of video editing techniques and their impact on various applications, emphasizing the need for detailed surveys to stay informed about recent advancements.