Title :
Re-projection of terabyte-sized images
Author :
Bajcsy, Peter ; Vandecreme, Antoine ; Brady, Mary
Author_Institution :
Software & Syst. Div., Nat. Inst. of Stand. & Technol. (NIST), Gaithersburg, MD, USA
Abstract :
This work addresses the problem of re-projecting a terabyte-sized 3D data set represented as a set of 2D Deep Zoom pyramids. In general, a re-projection for small 3D data sets is executed directly in RAM. However, RAM becomes a limiting factor for terabyte-sized 3D volumes formed by a stack of hundreds of megapixel to gigapixel 2D frames. We have benchmarked three methods to perform the re-projection computation in order to overcome the RAM limitation.
Keywords :
Big Data; image representation; random-access storage; 2D Deep Zoom pyramids; RAM limitation; terabyte-sized 3D data reprojection; terabyte-sized 3D volumes; terabyte-sized images; Benchmark testing; Data visualization; Image resolution; NIST; Random access memory; Three-dimensional displays; Tiles; Deep Zoom; re-projection; terabyte-sized images;
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
DOI :
10.1109/BigData.2013.6691786
