Automatic partitioning of full-motion video
Multimedia Systems
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
Nonparametric color characterization using mean shift
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
Offense based temporal segmentation for event detection in soccer video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Dominant Sets and Pairwise Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video
IEEE Transactions on Multimedia
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Video scene detection using graph-based representations
Image Communication
Dominant sets based movie scene detection
Signal Processing
Hi-index | 0.00 |
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.