Abstract
In order to solve the problem of low accuracy and detection rate of video keyframe extraction in existing methods, a compressed domain based keyframe extraction algorithm for sports teaching videos is proposed. Based on the logical structure of physical education teaching videos, convolutional autoencoders are used to extract video features; Introduce HSV space and use non-uniform quantization of HSV space to achieve shot segmentation in sports teaching videos, and restore lost key frames; On the basis of video preprocessing, key frame extraction of physical education teaching videos is achieved through compressed domain. The experimental results show that the accuracy of keyframe extraction and detection rate of this algorithm are high, indicating that this algorithm has high application value.
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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Cao, H., He, X. (2024). A Key Frame Extraction Algorithm for Physical Education Teaching Video Based on Compressed Domain. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-031-51468-5_20
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DOI: https://doi.org/10.1007/978-3-031-51468-5_20
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