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Sora在影像档案中的应用、意义与挑战

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Sora作为一款智能文生视频模型,可以被用于影像档案修复、处理、构建、存储与教育等五大方面,从而为档案数智化管理提供新的路径.Sora模型的深度学习、建模仿真和多联互动等技术,能够增强档案的可视化、交互性、利用率、安全性和共享性.然而,Sora模型也存在视频时长限制、技术失效、真实性存疑、质量差异大、版权和隐私伦理等不足.Sora模型的出现,为档案领域带来新的机遇与挑战,将进一步推动影像档案工作的数智化水平.
Sora is an intelligent text-to-video model,which can be used in five major aspects of image archive restoration,processing,construction,storage and education,thus providing a new path for digital and intelligent management of archives.Sora model's technologies of deep learning,modeling and simulation and multi-link interaction can enhance the archive's visualization,interactivity,utilization,security and sharing.However,the Sora model also has shortcomings such as video duration limitation,technical failure,doubtful authenticity,large quality variation,copyright and privacy ethics,etc.The emergence of the Sora model brings new opportunities and challenges to the archive field,and will further promote the digital and intelligence of image archive work.

SoraImage archiveArtificial intelligence

鲍亚林

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辽宁大学文学院

Sora 影像档案 人工智能

2024

浙江档案
浙江省档案局 浙江省档案学会

浙江档案

CHSSCD北大核心
影响因子:0.181
ISSN:1006-4176
年,卷(期):2024.(9)