Minimization of the spurious shot boundaries using principal components decomposition and progressive nonlinear filter

Abstract

Shot boundary detection is an important for retrieval of visual media in multimedia systems. Video temporal segmentation algorithms use thresholding techniques to identify both abrupt shot changes and gradual shot transitions. Thresholding methods frequently provide false positives due to large variations in gradual transition regions. The principal component decomposition and progressive nonlinear filter (PNF) have been developed to suppress spurious temporal information in gradual transition regions while preserving abrupt shot changes. The spurious shot boundary information can be further minimized by a multistage shot boundary detection approach.