A Formal Model for Video Shot Segmentation and its Application via Animate Vision

Authors:
Massimiliano Albanese;Angelo Chianese;Vincenzo Moscato;Lucio Sansone
Affiliations:
Dipartimento di Informatica e Sistemistica, Università di Napoli “Federico II”. malbanes@unina.it;Dipartimento di Informatica e Sistemistica, Università di Napoli “Federico II”. angchian@unina.it;Dipartimento di Informatica e Sistemistica, Università di Napoli “Federico II”. vmoscato@unina.it;Dipartimento di Informatica e Sistemistica, Università di Napoli “Federico II”. sansone@unina.it
Venue:
Multimedia Tools and Applications
Year:
2004

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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.