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Article type: Research Article
Authors: Zhang, Yipinga; * | Wilker, Koljab
Affiliations: [a] Sino-German Institute of Design and Communication, Zhejiang Wanli University, Ningbo, China | [b] DFI College of Communication Art and New Media, Hamburg, Germany
Correspondence: [*] Corresponding author. Yiping Zhang, Sino-German Institute of Design and Communication, Zhejiang Wanli University, Ningbo 315107, China. E-mail: [email protected].
Abstract: Traditional digital media system can not complete the format conversion and video transcoding of massive image and video information at the same time, which leads to long time of information processing and loss of data storage. Therefore, a digital media system driven by artificial intelligence and big data is designed. Using FastDFS design of digital media data management module. Design digital media image, video conversion module and digital media resource data dictionary library. Develop image plug-ins based on the MapInfo platform. Design video plug-in, introduce virtual reality technology to retrieve image information, call video source, create CvCapture object. Design system software functions and digital media information acquisition algorithm. Intelligent artificial pixel feature acquisition technology is used to collect 3D visual information of digital media and design its pseudo-code. Compared with the traditional system, the information processing time of the designed system is shorter, and it takes 11.555 ms when there are more information objects. The experimental results show that the designed system can complete more complete storage of data.
Keywords: Digital media, big data, FastDFS, MapInfo platform, intelligent artificial pixel feature acquisition technology
DOI: 10.3233/JIFS-211561
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 4, pp. 4465-4475, 2022
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