Video Processing and Computational Video: International Seminar, Dagstuhl Castle, Germany, October 10-15, 2010. Revised Papers

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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.

Author(s): Martin Eisemann, Felix Klose, Marcus Magnor (auth.), Daniel Cremers, Marcus Magnor, Martin R. Oswald, Lihi Zelnik-Manor (eds.)
Series: Lecture Notes in Computer Science 7082
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011

Language: English
Pages: 213
Tags: Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Pattern Recognition; Computer Graphics; Algorithm Analysis and Problem Complexity

Front Matter....Pages -
Towards Plenoptic Raumzeit Reconstruction....Pages 1-24
Two Algorithms for Motion Estimation from Alternate Exposure Images....Pages 25-51
Understanding What we Cannot See: Automatic Analysis of 4D Digital In-Line Holographic Microscopy Data....Pages 52-76
3D Reconstruction and Video-Based Rendering of Casually Captured Videos....Pages 77-103
Silhouette-Based Variational Methods for Single View Reconstruction....Pages 104-123
Single Image Blind Deconvolution with Higher-Order Texture Statistics....Pages 124-151
Compressive Rendering of Multidimensional Scenes....Pages 152-183
Efficient Rendering of Light Field Images....Pages 184-211
Back Matter....Pages -