TY - GEN
T1 - Research and Implementation of Digital Art Media System Based on Big Data Aesthetics
AU - Liu, Zixuan
N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
PY - 2022
Y1 - 2022
N2 - In the innovation and development of digital media technology, a large number of new technologies and ideas appear on the Internet platform, which not only lays a solid technical foundation for the art education management system, but also provides a new direction for the design of digital art media system. Traditional art media can hardly meet the characteristics of modern art aesthetics. Therefore, exploring how to build a new operating system combining digital art media technology is the main development direction of current technological innovation. This paper starts with the art education management system and studies the design and implementation of digital art media teaching assistant system based on the big data aesthetic situation. On the basis of mastering the system architecture, the concrete process is verified and analyzed. The final results show that the system design not only meets the expected goals but also meets the expected development requirements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
AB - In the innovation and development of digital media technology, a large number of new technologies and ideas appear on the Internet platform, which not only lays a solid technical foundation for the art education management system, but also provides a new direction for the design of digital art media system. Traditional art media can hardly meet the characteristics of modern art aesthetics. Therefore, exploring how to build a new operating system combining digital art media technology is the main development direction of current technological innovation. This paper starts with the art education management system and studies the design and implementation of digital art media teaching assistant system based on the big data aesthetic situation. On the basis of mastering the system architecture, the concrete process is verified and analyzed. The final results show that the system design not only meets the expected goals but also meets the expected development requirements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
KW - Aesthetic characteristics
KW - Big data
KW - Digital art
KW - Media system
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U2 - 10.1007/978-981-19-2452-1_20
DO - 10.1007/978-981-19-2452-1_20
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 978-981-19-2451-4
VL - 2
T3 - Smart Innovation, Systems and Technologies
SP - 195
EP - 203
BT - 3D Imaging— Multidimensional Signal Processing and Deep Learning
PB - Springer Singapore
T2 - 3rd International conference on 3D Imaging Technologies - Multidimensional Signal Processing and Deep Learning, 3DIT-MSP and DL 2021
Y2 - 26 December 2021 through 28 December 2021
ER -