Video Shot Segmentation and Classification

8 years 10 months ago
Video Shot Segmentation and Classification
In this paper, we propose a novel technique for video shot segmentation and classification based on the Singular Value Decomposition (SVD). For the input video sequence, we create a feature-frame matrix A, and perform the SVD on it. From this SVD, we are able to not only derive the refined feature space to better segment the video sequence along time axis, but also define metrics to enable classifications of the detected video shots. Using these SVD properties, we achieve the two goals of accurate video shot segmentation, and visual content-based shot classification at the same time.
Yihong Gong, Xin Liu
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Yihong Gong, Xin Liu
Comments (0)