Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46494
Title: Video segmentation through multiscale texture analysis
Authors: Alemán-Flores, Miguel 
Álvarez-Leon, Luis 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Keywords: Important features
Multi-scale approaches
Multiscale texture analysis
Video scene
Video segmentation, et al
Issue Date: 2004
Journal: Lecture Notes in Computer Science 
Conference: International Conference on Image Analysis and Recognition 
Abstract: 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
Source: 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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