Application of Multimedia Data Feature Extraction Technology in Folk Art Creation

Ying-ying Gong
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Ying-ying Gong: An Hui Broadcasting, Movie, and Television College, China

International Journal of Intelligent Information Technologies (IJIIT), 2024, vol. 20, issue 1, 1-14

Abstract: In the intelligent background, in order to carry out the folk art creation more conveniently, this article integrates the new technology of multimedia data features into the folk art creation to achieve the sustainable development of folk art. Specifically, based on the method of wavelet transform, this article decomposes folk art images into images of different scales and different resolutions to obtain clearer works, which is beneficial to the creation and dissemination of folk art. With the peak signal to noise ratio (PSNR) as the evaluation criterion, five classical folk art images are used to test the effect of image enhancement. The experimental results show that the PSNR of the folk art works after data feature extraction is higher than 30, which meets the requirements of data feature extraction. It further shows that multimedia digital feature technology has a good application effect on folk art works, which is conducive to the inheritance and creation of folk art.

Date: 2024
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