Abstract
In content-based video analysis, commonly the first step is to segment a video into independent shots. However, it is rather inefficient to represent video using shot information, as one hour video may contain more than a hundred shots. To address this limitation, most recent work has focused on segmenting a video into scenes, each aggregated by consecutive shots that share similar visual properties or cover a same dramatic event. With the use of sequential change detection and the help of nonparametric density estimation, we propose a novel approach for video scene segmentation in this paper. Experimental results obtained from various test videos suggest that the proposed approach is promising.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kender, J.R., Yeo, B.-L.: Video scene segmentation via continuous video coherence. In: IEEE Computer Society Conference on ComputerVision and Pattern Recognition, pp. 367–373 (1998)
Kang, H.-B.: A Hierarchical Approach to Scene Segmentation. In: IEEEWorkshop on Content- Based Access of Image and Video Libraries, pp. 65–71 (2001)
Sundaram, H., Chang, S.-F.: Computable scenes and structures in films. IEEE Transactions on Multimedia 4(4), 482–491 (2002)
Chaisorn, L., Chua, T.-S., Lee, C.-H.: The segmentation of news video into story units. In: IEEE International Conference on Multimedia and Expo., vol. 1, pp. 73–76 (2002)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, NewYork (1991)
Deng, Y., Kenney, C., Moore, M.S., Manjunath, B.S.: Peer group filtering and perceptual color image quantization. IEEE Intl. Symposium on Circ. and Syst. 4, 21–24 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Z., Lu, H., Tan, YP. (2004). Video Scene Segmentation Using Sequential Change Detection. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30543-9_72
Download citation
DOI: https://doi.org/10.1007/978-3-540-30543-9_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23985-7
Online ISBN: 978-3-540-30543-9
eBook Packages: Computer ScienceComputer Science (R0)