Content Layer Progressive Coding of Digital Maps
DCC '00 Proceedings of the Conference on Data Compression
The Skip-Innovation Model for Sparse Images
DCC '00 Proceedings of the Conference on Data Compression
A Novel Codec for Thin Client Computing
DCC '00 Proceedings of the Conference on Data Compression
Fast Motion Detection for Thin Client Compression
DCC '02 Proceedings of the Data Compression Conference
Streaming Thin Client Compression
DCC '01 Proceedings of the Data Compression Conference
Lossless Image Data Sequence Compression Using Optimal Context Quantization
DCC '01 Proceedings of the Data Compression Conference
THINC: a virtual display architecture for thin-client computing
Proceedings of the twentieth ACM symposium on Operating systems principles
On the performance of wide-area thin-client computing
ACM Transactions on Computer Systems (TOCS)
Analysis and reduction of data spikes in thin client computing
Journal of Parallel and Distributed Computing
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The piecewise-constant image model (PWC) is remarkably effective for compressing palette images. This paper discloses a new streaming version of PWC that retains the excellent compression efficiency of the original algorithm while dramatically enhancing compression performance. Further, compression throughput is made more constant, making it possible to code sparse images very quickly.