Abstract
We propose a unified framework which combines a novel color representation, i.e. spatial color descriptors, and a post-refinement process to detect various types of shot boundaries, including abrupt shot changes, flashlights, dissolves, fade-ins and fade-outs. The spatial color descriptor involving color adjacency and color vector angle histograms incorporates spatial information into color representation and provides robust performance in shot boundary detection. Moreover, a motion-based post-refinement process is developed to effectively eliminate false positives in gradual transition detection, where rapid camera motion or object movement may lead to performance degradation. Experimental results show that these two techniques are integrated seamlessly to give satisfactory performance and present the robustness of spatial color descriptors.
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
Lee, H.Y., Lee, H.K., Ha, Y.H.: Spatial Color Descriptor for Image Retrieval and Video Segmentation. IEEE Transactions on Multimedia 5(3), 358–367 (2003)
Gargi, U., Kasturi, R., Strayer, S.H.: Performance Characterization of Video- Shot-Change Detection Methods. IEEE Transactions on Circuits and Systems for Video Technology 10(1), 1–13 (2000)
Lienhart, R.: Comparison of Automatic Shot Boundary Detection Algorithms. SPIE Storage and Retrieval for Still Image and Video Databases VII 3656, 290–301 (1999)
Cernekova, Z., Nikou, C., Pitas, I.: Shot Detection in Video Sequences Using Entropy-Based Metrics. In: Proceedings of International Conference on Image Processing, vol. 3, pp. 421–424 (2002)
Yeo, B.L., Liu, B.: Rapid Scene Analysis on Compressed Video. IEEE Transactions on Circuits and Systems for Video Technology 5(6), 533–544 (1995)
Granlund, G.H., Knutsson, H.: Signal Processing for Computer Vision. Kluwer, Norwell (1995)
Hanjalic, A.: Shot-Boundary Detection: Unraveled and Resolved? IEEE Transactions on Circuits and Systems for Video Technology 12(2), 90–105 (2002)
Lu, H., Tan, Y.P.: An Effective Post-Refinement Method for Shot Boundary Detection. In: Proceedings of International Conference on Image Processing, vol. 2, pp. 1013–1016 (2003)
Ngo, C.W., Pong, T.C., Zhang, H.J.: Motion Analysis and Segmentation Through Spatio-Temporal Slices Processing. IEEE Transactions on Image Processing 12(3), 341–355 (2003)
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
Chu, WT., Cheng, WH., He, SF., Wang, CW., Wu, JL. (2004). A Unified Framework Using Spatial Color Descriptor and Motion-Based Post Refinement for Shot Boundary 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_70
Download citation
DOI: https://doi.org/10.1007/978-3-540-30543-9_70
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)