Shot Segmentation Algorithm Based on HSV Model in Sport Video

Author:

Yan Kun

Publisher

Springer International Publishing

Reference10 articles.

1. Francisco, N., Bezerra, A.: Longest common subsequence approach to detect cut and wipe video transitions. In: Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium, pp. 56–69 (2018)

2. Hong, L.: An effective post-refinement method for shot boundary detection. IEEE Trans. Circuits Syst. Video Technol. 15(11), 1407–1421 (2015)

3. Meng, C., Chen, Z., Feng, M., Zhao, Q.: Teaching video compression algorithm based on key frame and indicator motion model. Progr. Laser Optoelectron. 55(10), 124–135 (2018)

4. Takano: Sports video moving object detection and tracking based on improved Gaussian mixture model. Modern Electron. Technol. 40(19), 91–93 (2017)

5. Abdelali, A., Hannachi, M., Touil, L., Mtibaa, A.: Adequation and hardware implementation of the color structure descriptor for real-time temporal video segmentation. J. Real-Time Image Process. 13(4), 739–758 (2017)

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