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Video Processing and Computational Video

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Video Processing and Computational Video Synopsis

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.            

About This Edition

ISBN: 9783642248696
Publication date: 13th October 2011
Author: Daniel Cremers
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 211 pages
Series: LNCS Sublibrary. SL 6, Image Processing, Computer Vision, Pattern Recognition and Graphics
Genres: Image processing
Pattern recognition
Computer vision
Algorithms and data structures
Graphics programming
Artificial intelligence