Probabilistic shot boundary detection using interframe histogram differences

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5 Citas (Scopus)

Resumen

In this paper we study a method for the detection of shot boundaries using interframe histogram differences. Instead of using traditional distance between histograms, we use a probabilistic distance that indicates the chance of a given distance to be a shot boundary. We declare a shot change when the interframe histogram difference is a large deviation from the expected histogram interframe differences given past evidence. Like other histogram based methods the proposed one is very simple while being very robust and effective. The proposed method outperforms similar methods proposed in the literature for the detection of hard cuts and achieves good recall and precision performances for gradual transitions.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings
EditorialSpringer Verlag
Páginas726-732
Número de páginas7
ISBN (versión impresa)3540465561, 9783540465560
DOI
EstadoPublicada - 2006
Evento11th Iberoamerican Congress in Pattern Recognition, CIARP 2006 - Cancun
Duración: 14 nov. 200617 nov. 2006

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4225 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia11th Iberoamerican Congress in Pattern Recognition, CIARP 2006
País/TerritorioMexico
CiudadCancun
Período14/11/0617/11/06

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