The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Ten lectures on wavelets
An introduction to wavelets
Proceedings of the 7th conference on Visualization '96
The object database standard: ODMG 2.0
The object database standard: ODMG 2.0
Introduction to data compression
Introduction to data compression
Spatio-Temporal Retrieval with RasDaMan
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
A Database Array Algebra for Spatio-Temporal Data and Beyond
NGIT '99 Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems
Storage of Multidimensional Arrays Based on Arbitrary Tiling
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
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Multidimensional raster data appears in many application areas, typically in the form of sampledspatial or spatio-temporal analogue data. Due to the data volume and correlations between neighbouring samples usually encounteredin this kind of data it has high potential for efficient compression, as can be seen by the wealth of specializedcompression techniques developedfor 2D raster images; other examples wouldb e 1D time series, 3D volumetric or spatiotemporal data, 4D spatio-temporal data or 5+D data typically found in OLAP data cubes. Efficiently handling this kind of data often requires compression, be it to reduce storage space requirements or transfer times over low-bandwidth media. In this paper we present the design of the generic, tile-basedcompression engine developed for this purpose and implemented in the multidimensional array DBMS RasDaMan.