Skip to main content
placeholder image

Soccer video shot classification based on color characterization using dominant sets clustering

Chapter


Abstract


  • In this paper, we propose a novel approach for dominant color region detection using dominant sets clustering and apply it to soccer video shot classification. Compared with the widely used histogram based dominant color extraction methods which require appropriate thresholds and sufficient training samples, the proposed method can automatically extract dominant color region without any threshold setting. Moreover, the dominant color distribution can be sufficiently characterized by the use of dominant sets clustering which naturally provides a principled measure of a cluster's cohesiveness as well as a measure of a vertex participation to each group. The Earth Mover's Distance (EMD) is employed to measure the similarity between dominant color regions of two frames, which is incorporated into the kernel function of SVM. Experimental results have shown the proposed method is much more effective. © 2009 Springer-Verlag Berlin Heidelberg.

Publication Date


  • 2009

Citation


  • Li, L., Zhang, X., Hu, W., Li, W., & Zhu, P. (2009). Soccer video shot classification based on color characterization using dominant sets clustering. In Unknown Book (Vol. 5879 LNCS, pp. 923-929). doi:10.1007/978-3-642-10467-1_83

International Standard Book Number (isbn) 13


  • 9783642104664

Scopus Eid


  • 2-s2.0-76249085452

Book Title


  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Start Page


  • 923

End Page


  • 929

Abstract


  • In this paper, we propose a novel approach for dominant color region detection using dominant sets clustering and apply it to soccer video shot classification. Compared with the widely used histogram based dominant color extraction methods which require appropriate thresholds and sufficient training samples, the proposed method can automatically extract dominant color region without any threshold setting. Moreover, the dominant color distribution can be sufficiently characterized by the use of dominant sets clustering which naturally provides a principled measure of a cluster's cohesiveness as well as a measure of a vertex participation to each group. The Earth Mover's Distance (EMD) is employed to measure the similarity between dominant color regions of two frames, which is incorporated into the kernel function of SVM. Experimental results have shown the proposed method is much more effective. © 2009 Springer-Verlag Berlin Heidelberg.

Publication Date


  • 2009

Citation


  • Li, L., Zhang, X., Hu, W., Li, W., & Zhu, P. (2009). Soccer video shot classification based on color characterization using dominant sets clustering. In Unknown Book (Vol. 5879 LNCS, pp. 923-929). doi:10.1007/978-3-642-10467-1_83

International Standard Book Number (isbn) 13


  • 9783642104664

Scopus Eid


  • 2-s2.0-76249085452

Book Title


  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Start Page


  • 923

End Page


  • 929