Shot and Scene Detection via Hierarchical Clustering for Re-using Broadcast Video
Video decomposition techniques are fundamental tools for allowing effective video browsing and re-using. In this work, we consider the problem of segmenting broadcast videos into coherent scenes, and propose a scene detection algorithm based on hierarchical clustering, along with a very fast state-of-the-art shot segmentation approach. Experiments are performed to demonstrate the effectiveness of our algorithms, by comparing against recent proposals for automatic shot and scene segmentation.
KeywordsShot detection Scene detection Clustering Performance measures
Unable to display preview. Download preview PDF.
- 1.Apostolidis, E., Mezaris, V.: Fast Shot Segmentation Combining Global and Local Visual Descriptors. In: IEEE Int. Conf. Acoustics, Speech and Signal Process, pp. 6583–6587 (2014)Google Scholar
- 3.Baraldi, L., Grana, C., Cucchiara, R.: Scene segmentation using temporal clustering for accessing and re-using broadcast video. In: IEEE International Conference on Multimedia and Expo (IEEE ICME 2015) (2015)Google Scholar
- 6.Ling, X., Yuanxin, O., Huan, L., Zhang, X.: A method for fast shot boundary detection based on SVM. In: Congress on Image and Signal Processing, CISP 2008, vol. 2, pp. 445–449 (2008)Google Scholar
- 11.Yeung, M.M., Yeo, B.L., Wolf, W.H., Liu, B.: Video browsing using clustering and scene transitions on compressed sequences. In: IS&T/SPIE’s Symposium on Electronic Imaging: Science & Technology, pp. 399–413 (1995)Google Scholar