Block-run run-length coding of handwriting and bilevel graphics based on quadtree segmentation
Pattern Recognition Letters
Multidimensional access methods
ACM Computing Surveys (CSUR)
Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling)
A Web Service Model for Climate Data Access on the Grid
International Journal of High Performance Computing Applications
Using bitmap index for interactive exploration of large datasets
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Scalable Data Servers for Large Multivariate Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Terascale data organization for discovering multivariate climatic trends
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Improved resolution scalability for bilevel image data in JPEG2000
IEEE Transactions on Image Processing
Runlength-based processing methods for low bit-depth images
IEEE Transactions on Image Processing
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
An algorithm for compression of bilevel images
IEEE Transactions on Image Processing
Indexing large-scale raster geospatial data using massively parallel GPGPU computing
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Efficient histogramming of large-scale geospatial rasters in supporting of web-based queries
Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems
SCOUT: prefetching for latent structure following queries
Proceedings of the VLDB Endowment
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Query based visual explorations of raster geospatial data plays an important role in stimulating scientific hypothesis and subsequently seeking casual relationships. While it is desirable to enable visual explorations of large-scale raster geospatial data in a Web environment, improving the end-to-end performance between query backend and the client applications remains a challenging technical issue. Techniques for providing tiled map services that are adopted by major commercial Internet maps APIs have been successful in handling static geospatial data. Motivated by the practical needs of supporting query-based visual explorations in a Web environment, we have proposed a dynamic tiled map services approach that integrates and extends existing Web-based standards and best practices in serving tiled images for static raster geospatial data. The approach includes quadtree-based indexing and query processing at the server side and a middleware to efficiently convert quadrants of dynamic query results into tiled images. A prototype system has been developed to demonstrate the feasibility of the proposed approach. Experimental results have showed that the prototype system achieves an end-to-end performance in the order of sub-second for 1024*1024 pixels display area consisting of multiple tiles.