10.4230/DFU.SCIVIZ.2010.336
Co, Christopher S.
Christopher S.
Co
Duchaineau, Mark A.
Mark A.
Duchaineau
Joy, Kenneth I.
Kenneth I.
Joy
Streaming Aerial Video Textures
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
2010
Chapter
Molecuar Dynamics
Saliency
Simulation
Hagen, Hans
Hans
Hagen
2010
2010-08-02
2010-08-02
2010-08-02
en
urn:nbn:de:0030-drops-27148
978-3-939897-19-4
1868-8977
10 pages
2329460 bytes
application/pdf
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
info:eu-repo/semantics/openAccess
We present a streaming compression algorithm for huge time-varying aerial imagery. New airborne optical sensors are capable of collecting billion-pixel images at multiple frames per second. These images must be transmitted through a low-bandwidth pipe requiring aggressive compression techniques. We achieve such compression by treating foreground portions of the imagery separately from background portions. Foreground information consists of moving objects, which form a tiny fraction of the total pixels. Background areas are compressed effectively over time using streaming wavelet analysis to compute a compact video texture map that represents several frames of raw input images. This map can be rendered efficiently using an algorithm amenable to GPU implementation. The core algorithmic contributions of this work are methods for fast, low-memory streaming wavelet compression and efficient display of wavelet video textures resulting from such compression.
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