Affiliation:
1. Fine Arts College, Dezhou University, Dezhou 253023, Shandong, China
Abstract
With the development of science and technology, intelligent image recognition and digital media art are gradually applied to the inheritance of intangible cultural heritage. In the inheritance of black pottery, intelligent image recognition can help identify the authenticity and age of black pottery, and digital media art can inject new vitality into black pottery culture. Digital media, which combines digitalization and mediaization, breaks the limitations of traditional media and provides ideological and technical guarantees for the reconstruction, dissemination and promotion of intangible cultural heritage protection. Image recognition technology is no longer limited to the auxiliary detection of images, on the contrary, it has become a recording and collection tool. With the promotion and development of science and technology, it can be more widely shared and disseminated in time and space. In this paper, the traditional machine learning algorithm and the intelligent learning algorithm are compared in image recognition, and the image information recognition rate, the number of iterations, the training time, and the information loss rate are compared in four aspects. The results have found that compared with the traditional learning algorithm, the number of iterations of the intelligent learning algorithm is reduced by 20%, the training time is reduced by 40%, the information loss rate is reduced by 6.3%, and the recognition accuracy rate is improved by 6.1%, which showed that under the current technology, intangible cultural heritage can be better inherited, and Chinese culture can be better promoted, so that more people can understand and join in the protection of intangible cultural heritage.
Publisher
Association for Computing Machinery (ACM)
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