Trailer Reimagined: 一种创新的、基于大语言模型的、富有表现力的自动电影预告片生成框架 (TRAILDREAMS)
Trailer Reimagined: An Innovative, Llm-DRiven, Expressive Automated Movie Summary framework (TRAILDREAMS)
AI总结：
TRAILDREAMS利用大语言模型自动生成电影预告片，通过选择关键视觉片段和对话生成音频元素，提升预告片的吸引力和视觉效果，但在质量上仍需进一步改进以接近人工创作的预告片。
摘要：
本文介绍了TRAILDREAMS，一种利用大型语言模型（LLM）自动生产电影预告片的框架。LLM的目标是选择关键的视觉片段和有影响力的对话，并帮助TRAILDREAMS生成音频元素，如音乐和旁白。目标是高效地生产吸引人且视觉 appealing 的预告片。在比较评估中，TRAILDREAMS在观众评分上超过了当前最先进的预告片生成方法。然而，与真实的、人工创作的预告片相比，它仍存在差距。虽然TRAILDREAMS展示了显著的前景，并标志着自动化创意过程的进步，但仍需进一步改进以缩小与传统预告片的质量差距。
英文摘要：
This paper introduces TRAILDREAMS, a framework that uses a large language model (LLM) to automate the production of movie trailers. The purpose of LLM is to select key visual sequences and impactful dialogues, and to help TRAILDREAMS to generate audio elements such as music and voiceovers. The goal is to produce engaging and visually appealing trailers efficiently. In comparative evaluations, TRAILDREAMS surpasses current state-of-the-art trailer generation methods in viewer ratings. However, it still falls short when compared to real, human-crafted trailers. While TRAILDREAMS demonstrates significant promise and marks an advancement in automated creative processes, further improvements are necessary to bridge the quality gap with traditional trailers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
