Abstract
In recent years, with the development of science and technology, the education mode has gradually changed from offline teaching to the combination of offline education and online education. Compared with the traditional offline education, the significant advantages of online education are low cost, rich content and flexible use. In this paper, an intelligent textbook based on image recognition technology is designed, which combines online courses with physical textbooks to realize the collaboration of two learning methods. The APP can not only realize the video playback function and other basic functions of the online education platform, but also adopt the image recognition technology, so that users can scan the picture through the APP to watch the explanation video or 3D model projected onto the real picture by AR way. This paper uses SSM framework and OpenCV to build the background, and combined with Objective-C to build an online course APP running on IOS platform. In general, the app not only designs and implements the basic online course learning process, but also realizes the accurate recognition of images by combining the image matching technology based on OpenCV and the perceptual hash algorithm.
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Zhang, X., Guo, Y., Wen, T., Guo, H. (2021). Intelligent Textbooks Based on Image Recognition Technology. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2020. Lecture Notes in Computer Science(), vol 12608. Springer, Cham. https://doi.org/10.1007/978-3-030-74717-6_12
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DOI: https://doi.org/10.1007/978-3-030-74717-6_12
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