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. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/BigData.2013.6691786 | Silicon Valley, CA |
Keywords | Field | DocType |
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,Deep Zoom,re-projection,terabyte-sized images | Data set,Computer graphics (images),Terabyte,Computer science,Image representation,Zoom,Big data,Computation | Conference |
ISSN | Citations | PageRank |
2639-1589 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Peter Bajcsy | 1 | 138 | 25.50 |
Antoine Vandecreme | 2 | 7 | 1.79 |
Mary Brady | 3 | 39 | 10.10 |