Abstract. The first step in a video indexing process is the segmentation of videos into meaningful parts called shots. In this paper we present a formal model of the video shot segmentation process. Starting from a mathematical characterization of the most common transition effects, a video segmentation algorithm capable to detect both abrupt and gradual transitions is proposed. The proposed algorithm is based on the computation of an arbitrary similarity measure between consecutive frames of a video. The algorithm has been tested adopting a similarity metric based on the Animate Vision theory and results have been reported.
Albanese et al. REF have proposed an algorithm which use similarity metric based on the animate vision theory.
A Formal Model for Video Shot Segmentation and its Application via Animate Vision
Multimedia Tools and Applications
Multimedia Tools and Applications
Computer Science