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随着数字化时代的到来,数字媒体成为人们生活必不可少的元素。数字媒体涉及的技术也逐渐变成计算机技术领域的研究热点。本文综述了数字媒体技术的发展历程、现状以及未来趋势。按照数字媒体的生成、处理、安全和呈现等环节对数字媒体技术进行了分类,并详细论述了每类中的一些关键技术,最后探讨了数字媒体人工智能生成技术、数字媒体呈现元宇宙化技术和社交媒体提高商业价值的技术等重点发展方向。
Abstract:With the advent of the digital age, digital media has become an essential element in people's lives. The technology involved in digital media has gradually become a research hotspot in the computer technology field.In this paper, the development history, state-of-art and future trend of digital media technology were summarized.According to the links of digital media generation, processing, security and presentation, digital media technology was classified and some key technologies in each category in detail were discussed. Finally, digital media artificial intelligence generation technology, digital media presentation meta-universe technology and social media to improve business value technology and other key development directions were discussed.
[1]罗兴宇,刘玲,闫会峰,等.计算机科学导论[M].上海:上海交通大学出版社, 2017, 8:115-119.LUO Xing-yu, LIU Ling, YAN Hui-feng, et al.Introduction to Computer Science[M]. Shanghai:Shanghai Jiaotong University Press, 2017, 8:115-119.
[2]吴娱.数字图像处理[M].北京:北京邮电大学出版社, 2017:47-48.WU Yu. Digital Image Processing[M]. Beijing:Beijing University of Posts and Telecommunications Press,2017:47-48.
[3]张晓燕,李瑞欣,钱渊,等.多媒体通信技术[M]. 2版,北京:北京邮电大学出版社, 2015:76-82.ZHANG Xiao-yan, LI Rui-xin, QIAN Yuan, et al. Multimedia Communication Technology[M].Version 2, Beijing:Beijing University of Posts and Telecommunications Press, 2015:76-82.
[4] GOODFELLOW Ian J, POUGET-ABADIE J, MIRZA M, et al. Generative Adversarial Networks[J].Advances in Neural Information Processing Systems,2014, 3:2672-2680.
[5] HE K, ZHANG X, REN S, et al. Deep Residual Learning for Image Recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016:770-778.
[6] VASWANI Ashish, SHAZEER Noam, PARMAR Niki,et al. Attention is All You Need[J]. Advances in Neural Information Processing Systems. 2017.
[7] TERO Karras, SAMULI Laine, TIMO Aila. A Style-Based Generator Architecture for Generative Adversarial Networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019.
基本信息:
DOI:10.19370/j.cnki.cn10-1886/ts.2023.01.001
中图分类号:TP399
引用信息:
[1]王毅刚.数字媒体技术的发展与应用现状[J].印刷与数字媒体技术研究,2023,No.222(01):1-9+19.DOI:10.19370/j.cnki.cn10-1886/ts.2023.01.001.
基金信息: