The image of national costumes is the main way of presenting the digitalization of intangible cultural heritage and provides important resources for educational informatization. How to use modern information technology to efficiently retrieve images of national costumes has become a hot research topic. Due to the diverse styles and colorful colors of ethnic costumes, it is difficult to accurately describe and extract visual features. In view of the above problems, this paper proposes an image recognition model of intangible cultural heritage based on CNN and wireless network. First of all, the clothing images of ethnic settlements and ethnic museums are acquired through wireless network transmission, so as to construct an image material library of intangible cultural heritage. Secondly, the CNN algorithm is used to train and optimize the national costume image samples, extract the high-level semantic features of the national costume image, and finally realize the efficient retrieval of the national costume image educational resources. This model lays a good foundation for the informatization of national costumes and contributes to the inheritance and protection of intangible cultural heritage.
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Posted 23 Oct, 2020
On 01 Nov, 2020
Received 27 Oct, 2020
Received 27 Oct, 2020
Received 26 Oct, 2020
On 23 Oct, 2020
On 23 Oct, 2020
Invitations sent on 22 Oct, 2020
On 22 Oct, 2020
On 18 Oct, 2020
On 17 Oct, 2020
On 17 Oct, 2020
On 14 Sep, 2020
Received 05 Sep, 2020
Received 05 Sep, 2020
Received 05 Sep, 2020
On 15 Aug, 2020
On 15 Aug, 2020
On 15 Aug, 2020
Invitations sent on 14 Aug, 2020
On 13 Aug, 2020
On 12 Aug, 2020
On 21 Jul, 2020
On 18 Jul, 2020
Posted 23 Oct, 2020
On 01 Nov, 2020
Received 27 Oct, 2020
Received 27 Oct, 2020
Received 26 Oct, 2020
On 23 Oct, 2020
On 23 Oct, 2020
Invitations sent on 22 Oct, 2020
On 22 Oct, 2020
On 18 Oct, 2020
On 17 Oct, 2020
On 17 Oct, 2020
On 14 Sep, 2020
Received 05 Sep, 2020
Received 05 Sep, 2020
Received 05 Sep, 2020
On 15 Aug, 2020
On 15 Aug, 2020
On 15 Aug, 2020
Invitations sent on 14 Aug, 2020
On 13 Aug, 2020
On 12 Aug, 2020
On 21 Jul, 2020
On 18 Jul, 2020
The image of national costumes is the main way of presenting the digitalization of intangible cultural heritage and provides important resources for educational informatization. How to use modern information technology to efficiently retrieve images of national costumes has become a hot research topic. Due to the diverse styles and colorful colors of ethnic costumes, it is difficult to accurately describe and extract visual features. In view of the above problems, this paper proposes an image recognition model of intangible cultural heritage based on CNN and wireless network. First of all, the clothing images of ethnic settlements and ethnic museums are acquired through wireless network transmission, so as to construct an image material library of intangible cultural heritage. Secondly, the CNN algorithm is used to train and optimize the national costume image samples, extract the high-level semantic features of the national costume image, and finally realize the efficient retrieval of the national costume image educational resources. This model lays a good foundation for the informatization of national costumes and contributes to the inheritance and protection of intangible cultural heritage.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
The full text of this article is available to read as a PDF.
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