Video Shot Boundary Detection Using Independent Component Analysis
Jian Hong Zhou, Xiao-Ping Steven Zhang · 2006
Video shot boundary detection is an important early stage of content-based video analysis. In this paper, a new method for shot boundary detection using independent component analysis (ICA) is presented. By projecting video frames from illumination-invariant raw feature space into low dimensional ICA subspace, each video frame is represented by a two-dimensional compact feature vector. An iterative clustering algorithm based on adaptive thresholding is developed to detect cuts and gradual transitions simultaneously in ICA subspace. Experimental results successfully validate the new method and show that it can effectively detect both abrupt transitions and gradual transitions.