A simple class of efficient compression schemes supporting local access and editing
Author(s)Zhou, Hongchao; Wang, Da; Wornell, Gregory W.
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In this paper, we study the problem of compressing a collection of sequences of variable length that allows us to efficiently add, read, or edit an arbitrary sequence without decompressing the whole data. This problem has important applications in data servers, file-editing systems, and bioinformatics. We propose a novel and practical compression scheme, which shows that, by paying a small price in storage space (3% extra storage space in our examples), we can retrieve or edit a sequence (a few hundred bits) by accessing compressed bits close to the entropy of the sequence.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
Proceedings of the 2014 IEEE International Symposium on Information Theory
Institute of Electrical and Electronics Engineers (IEEE)
Zhou, Hongchao, Da Wang, and Gregory Wornell. “A Simple Class of Efficient Compression Schemes Supporting Local Access and Editing.” 2014 IEEE International Symposium on Information Theory (June 2014).
Author's final manuscript