Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network

In order to improve the effect of digital media art teaching, this study combines the neural network algorithm to carry out the innovation of digital media art teaching resource management and teaching method innovation. The scheme proposed in this study divides the video frame into image blocks and...

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Main Author: Yumei Liu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/6288890
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author Yumei Liu
author_facet Yumei Liu
author_sort Yumei Liu
collection DOAJ
description In order to improve the effect of digital media art teaching, this study combines the neural network algorithm to carry out the innovation of digital media art teaching resource management and teaching method innovation. The scheme proposed in this study divides the video frame into image blocks and then uses the BDCT transform to convert the video frame from the spatial domain to the frequency domain. Generally speaking, the DCT coefficient has the characteristic of energy concentration. In order to reduce the metadata needed to transmit the position of the discarded frequency-domain coefficients, the method proposed in this study divides the frequency-domain coefficients of different blocks into bands according to frequency and compresses the video in units of bands. Finally, this study constructs a digital media art teaching innovation system based on a convolutional neural network. The experimental research results show that the digital media art teaching system based on the convolutional neural network can effectively improve the teaching effect of digital media art.
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institution Kabale University
issn 1687-5699
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Advances in Multimedia
spelling doaj-art-6f57e875d11a433dba99686c9eef617f2025-02-03T01:20:17ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/6288890Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural NetworkYumei Liu0Department of Information and Intelligent EngineeringIn order to improve the effect of digital media art teaching, this study combines the neural network algorithm to carry out the innovation of digital media art teaching resource management and teaching method innovation. The scheme proposed in this study divides the video frame into image blocks and then uses the BDCT transform to convert the video frame from the spatial domain to the frequency domain. Generally speaking, the DCT coefficient has the characteristic of energy concentration. In order to reduce the metadata needed to transmit the position of the discarded frequency-domain coefficients, the method proposed in this study divides the frequency-domain coefficients of different blocks into bands according to frequency and compresses the video in units of bands. Finally, this study constructs a digital media art teaching innovation system based on a convolutional neural network. The experimental research results show that the digital media art teaching system based on the convolutional neural network can effectively improve the teaching effect of digital media art.http://dx.doi.org/10.1155/2022/6288890
spellingShingle Yumei Liu
Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network
Advances in Multimedia
title Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network
title_full Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network
title_fullStr Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network
title_full_unstemmed Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network
title_short Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network
title_sort innovation of teaching method of digital media art based on convolutional neural network
url http://dx.doi.org/10.1155/2022/6288890
work_keys_str_mv AT yumeiliu innovationofteachingmethodofdigitalmediaartbasedonconvolutionalneuralnetwork