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Spatiotemporal Extension of color Decomposition model and Dynamic Color structure-Texture extraction

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A new issue in texture analysis is its extension to temporal domain, a field known as Dynamic Texture analysis. Dynamic, or temporal, texture is a spatially repetitive, time-varying visual pattern that forms an image sequence with a certain temporal stationarity. Following recent work, color image decomposition into geometrical, texture and a noise components appears as a good way to extracting meaningful information, i.e texture component, independently of noise and geometrical information.

In this way, we propose to extend spatial color decomposition model to spatiotemporal domain, and attempt to separate static texture present in video and real dynamic texture. To our best knowledge, no such time adaptation is currently available.
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Document Type: Research Article

Publication date: January 1, 2008

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  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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