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001 978-3-642-24870-2
003 DE-He213
005 20160624102206.0
007 cr nn 008mamaa
008 111109s2011 gw | s |||| 0|eng d
020 _a9783642248702
_9978-3-642-24870-2
024 7 _a10.1007/978-3-642-24870-2
_2doi
050 4 _aT385
050 4 _aTA1637-1638
050 4 _aTK7882.P3
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
245 1 0 _aVideo Processing and Computational Video
_h[electronic resource] :
_bInternational Seminar, Dagstuhl Castle, Germany, October 10-15, 2010. Revised Papers /
_cedited by Daniel Cremers, Marcus Magnor, Martin R. Oswald, Lihi Zelnik-Manor.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aVII, 213p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7082
520 _aWith 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.            .
650 0 _aComputer science.
650 0 _aComputer software.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 0 _aComputer graphics.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aPattern Recognition.
650 2 4 _aComputer Graphics.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aCremers, Daniel.
_eeditor.
700 1 _aMagnor, Marcus.
_eeditor.
700 1 _aOswald, Martin R.
_eeditor.
700 1 _aZelnik-Manor, Lihi.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642248696
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7082
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-24870-2
942 _2EBK9989
_cEBK
999 _c39283
_d39283