Detection of Gradual Scene Boundaries with Linear and Circular Moving Borders

Jang Seok-Woo; Seong-Yun Cho

doi:http://dx.doi.org/

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2012, 17(4), pp.41-49
DOI :
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Jang Seok-Woo ¹ , Seong-Yun Cho ²

¹ 안양대학교
² 안양대학교

ABSTRACT

This paper proposes a detection method of wipes including horizontal wipes with linear moving borders, such as horizontal or vertical wipes, Barn Doors, and Iris Rounds with circular moving borders. The suggested method first obtains a difference image between two adjacent frames, and extracts lines and circles by applying Hough transformation to the extracted difference image. Then, we detect wipe transitions by employing an evaluation function that analyzes the number of moving trajectories of lines or circles, their moving direction and magnitude. To evaluate the performance of the suggested algorithm, experimental results show that the proposed method can effectively detect wipe transitions with linear and circular moving borders rather than some existing methods.
KEYWORDS

Gradual Scene Boundary , Moving Border , Line Extraction , Hough Transform , Circle Detection
REFERENCES (10)

[journal] T. -J. Chin / 2011 / Boosting Histograms of Descriptor Distances for Scalable Multiclass Specific Scene Recognition / Image and Vision Computing 29 (4) : 241~250

[journal] S. Li / 2007 / Effective Detection of Various Wipe Transitions / IEEE Transactions on Circuits and Systems for Video Technology 17 (6) : 663~673

[confproc] S. Mackowiak / 2005 / Wipe Transition Detection based on Motion Activity and Dominant Colors Descriptors / In Proceedings of the International Symposium on Image and Signal Processing and Analysis, pp : 480~483

[journal] S. -C. Pei / 2002 / Effective Wipe Detection in MPEG Compressed Video Using Macro Block Type Information / IEEE Transactions on Multimedia 4 (3) : 309~319

[confproc] P. Campisi / 2002 / Wipe Effect Detection for Video Sequences / In Proceedings of the IEEE Workshop on Multimedia Signal Processing : 161~164

[journal] J. Nam / 2005 / Detection of Gradual Transitions in Video Sequences Using B-Splines Interpolation / IEEE Transactions on Multimedia 7 (4) : 667~679

[journal] J. Cha / 2006 / Extended Hough Transform for Linear Feature Detection / Pattern Recognition 39 (6) : 1034~1043

[journal] J. Cao / 2007 / A Robust Shot Transition Detection Method Based on Support Vector Machine in Compressed Domain / Pattern Recognition Letters 28 (12) : 1534~1540

[journal] M. Liu / 2009 / A Multi-Prototype Clustering Algorithm / Pattern Recognition 42 (5) : 689~698

[journal] L. Wang / 2011 / Approximate Pairwise Clustering for LargeData Sets via Sampling plus Extension / Pattern Recognition 44 (2) : 222~235
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