Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46494
Título: Video segmentation through multiscale texture analysis
Autores/as: Alemán-Flores, Miguel 
Álvarez-Leon, Luis 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Palabras clave: Important features
Multi-scale approaches
Multiscale texture analysis
Video scene
Video segmentation, et al.
Fecha de publicación: 2004
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: International Conference on Image Analysis and Recognition 
Resumen: Segmenting a video sequence into different coherent scenes requires analyzing those aspects which allow finding the changes where a transition is to be found. Textures are an important feature when we try to identify or classify elements in a scene and, therefore, can be very helpful to find those frames where there is a transition. Furthermore, analyzing the textures in a given environment at different scales provides more information than considering the features which can be extracted from a single one. A standard multiscale texture analysis would require an adjustment of the scales in the comparison of the textures. However, when analyzing video sequences, this process can be simplified by assuming that the frames have been acquired at the same resolution. In this paper, we present a multiscale approach for segmenting video scenes by comparing the textures which are present in their frames.
URI: http://hdl.handle.net/10553/46494
ISBN: 978-3-540-23240-7
ISSN: 0302-9743
DOI: 10.1007/978-3-540-30126-4_42
Fuente: Campilho A., Kamel M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg
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