多模态大语言模型辅助电影母版质量检测的方法研究OA

As the Chinese film industry advances in both quality and efficiency,the traditional manual inspection process,as the core component of movie mastering quality control,has become increasingly prominent.This paper aims at enhanc-ing the quality inspection efficiency for movie mastering,introduces a technical upgrade utilizing multimodal large language model(MLLM)to assist in movie mastering quality inspection.A systematic comparative experiment was conducted to ana-lyze the performance differences between traditional image quality inspection techniques and MLLM-assisted inspection method.The research findings indicate that MLLM-assisted movie mastering quality inspection can substantially improve both efficiency and accuracy.Not only does this research expand the application boundaries of multimodal technology in the field of movie quality inspection,but it also provides new ideas and practical support for promoting the technological in-novation of film industry quality control system.