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978-3-642-24870-2 |
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111109s2011 gw | s |||| 0|eng d |
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|a 9783642248702
|9 978-3-642-24870-2
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|a 10.1007/978-3-642-24870-2
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|a Video Processing and Computational Video
|h [electronic resource] :
|b International Seminar, Dagstuhl Castle, Germany, October 10-15, 2010, Revised Papers /
|c edited by Daniel Cremers, Marcus Magnor, Martin R. Oswald, Lihi Zelnik-Manor.
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|a 1st ed. 2011.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2011.
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|a VII, 213 p. 115 illus., 95 illus. in color.
|b online resource.
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|a text
|b txt
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 7082
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|a With the swift development of video imaging technology and the drastic improvements in CPU speed and memory, both video processing and computational video are becoming more and more popular. Similar to the digital revolution in photography of fifteen years ago, today digital methods are revolutionizing the way television and movies are being made. With the advent of professional digital movie cameras, digital projector technology for movie theaters, and 3D movies, the movie and television production pipeline is turning all-digital, opening up numerous new opportunities for the way dynamic scenes are acquired, video footage can be edited, and visual media may be experienced. This state-of-the-art survey provides a compilation of selected articles resulting from a workshop on Video Processing and Computational Video, held at Dagstuhl Castle, Germany, in October 2010. The seminar brought together junior and senior researchers from computer vision, computer graphics, and image communication, both from academia and industry, to address the challenges in computational video. During this workshop, 43 researchers from all over the world discussed the state of the art, contemporary challenges, and future research in imaging, processing, analyzing, modeling, and rendering of real-world, dynamic scenes. The 8 thoroughly revised papers presented were carefully reviewed and selected from more than 30 lectures given at the seminar. The articles give a good overview of the field of computational video and video processing with a special focus on computational photography, video-based rendering, and 3D video. .
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|a Image processing-Digital techniques.
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|a Computer vision.
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|a Artificial intelligence.
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|a Pattern recognition systems.
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|a Computer graphics.
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|a Algorithms.
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|a Computer Imaging, Vision, Pattern Recognition and Graphics.
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|a Computer Vision.
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|a Artificial Intelligence.
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|a Automated Pattern Recognition.
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|a Computer Graphics.
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|a Algorithms.
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|a Cremers, Daniel.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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1 |
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|a Magnor, Marcus.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Oswald, Martin R.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Zelnik-Manor, Lihi.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783642248696
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776 |
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|i Printed edition:
|z 9783642248719
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 7082
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|u https://doi.uam.elogim.com/10.1007/978-3-642-24870-2
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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