Abstract
This paper proposes an abstraction mechanism of the low-level digital video features for the automatic retrievals of the explosion scenes from the digital video library. In the proposed abstraction mechanism, the regional dominant colors of the key frame and the motion energy of the shot are defined as the primary low-level visual features of the shot for the explosion scene retrievals. The regional dominant colors of shot are selected by dividing its key frame image into several regions and extracting their regional dominant colors, and the motion energy of the shot is defined as the edge image differences between key frame and its neighboring frame. Upon the extensive experimental results, we could argue that the recall and precision of the proposed abstraction and detecting algorithm are about 0.8, and also found that they are not sensitive to the thresholds.
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
S. Fischer, “Automatic Violence Detection in Digital Movies,” Proceeding of SPIE Multimedia Storage and Archiving Systems, 1996, pp.212–223.
R.C. Gonzalez, Digital Image Processing, Addison Wesley, 1993.
S. Pfeiffer, R. Lienhart, S. Fischer and Wolfgang Effelsberg, “Abstracting Digital Movies Automatically,” Journal of Visual Communication and Image Representation, Vol.7, No.4, 1996, pp.345–353.
M. Stricker and M. Orengo, “Similarity of Color Images”, Proceeding of SPIE Conference on Storage and Retrieval for Image and Video Databases III, Vol. 2670, 1996, pp. 381–391.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nang, J., Jeong, J., Park, S., Cha, H. (2002). An Abstraction of Low Level Video Features for Automatic Retrievals of Explosion Scenes. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_26
Download citation
DOI: https://doi.org/10.1007/3-540-36228-2_26
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00262-8
Online ISBN: 978-3-540-36228-9
eBook Packages: Springer Book Archive