基于计算机视觉技术的数字媒体内容生成与创作研究

Research on Digital Media Content Generation and Creation Based on Computer Vision Technology

计算机视觉技术是人工智能技术的重要分支,重在研究如何利用计算机图形处理技术实现代替人眼功能的目标识别、跟踪与测量。数字媒体艺术设计以图像或影像为主要媒介,与计算机视觉技术具有极高的适配性。计算机视觉技术在数字媒体内容生成与创作中的应用,能够提升数字媒体设计的智能化水平,促进设计质量提升。本研究以计算机视觉技术中的生成对抗网络算法为例,分析了将其应用于数字媒体内容生成与创作的方法,通过实验测试验证了方法的有效性和优越性,以期促进计算机视觉技术在数字媒体内容生成与创作技术中的应用。

Computer vision technology is an important branch of artificial intelligence technology,focusing on the study of how to use computer graphics processing technology to realize target recognition,tracking and measurement instead of human eye function.Digital media art design takes images or images as the main medium,which is highly adaptable to computer vision technology.The application of computer vision technology in digital media content generation and creation can enhance the intelligence of digital media design and promote the improvement of design quality.This study takes the generative adversarial network algorithm in computer vision technology as an example,analyzes the method of using it for digital media content generation and creation,and verifies the effectiveness and superiority of the method through experimental tests,with a view to promoting the application of computer vision technology in digital media content generation and creation technology.