http://www.cnr.it/ontology/cnr/individuo/prodotto/ID83619
The Myriad Virtues of Wavelet Trees (Contributo in atti di convegno)
- Type
- Label
- The Myriad Virtues of Wavelet Trees (Contributo in atti di convegno) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Alternative label
[1] Manzini G., [2] Ferragina P., [3] Giancarlo R. (2006)
The Myriad Virtues of Wavelet Trees
in 33rd International Colloquium on Automata, Languages and Programming (ICALP '06), Venice, Italy, 10-14 July 2006
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- [1] Manzini G., [2] Ferragina P., [3] Giancarlo R. (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Codice Puma: cnr.iit/2006-A2-006 (literal)
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- http://dx.doi.org/10.1007/11786986_49 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- [1] CNR-IIT, Pisa, Italy; [2] Dipartimento di Informatica, Università di Pisa, Pisa, Italy; [3] Dipartimento di Matematica ed Applicazioni, Università di Palermo, Palermo, Italy (literal)
- Titolo
- The Myriad Virtues of Wavelet Trees (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Abstract
- Wavelet Trees have been introduced in [Grossi, Gupta and Vitter, SODA '03] and have been rapidly recognized as a very flexible tool for the design of compressed full-text indexes and data compressors. Although several papers have investigated the beauty and usefulness of this data structure in the full-text indexing scenario, its impact on data compression has not been fully explored. In this paper we provide a complete theoretical analysis of a wide class of compression algorithms based on Wavelet Trees. We also show how to improve their asymptotic performance by introducing a novel framework, called Generalized Wavelet Trees, that aims for the best combination of binary compressors (like, Run-Length encoders) versus non-binary compressors (like, Huffman and Arithmetic encoders) and Wavelet Trees of properly-designed shapes. As a corollary, we prove high-order entropy bounds for the challenging combination of Burrows-Wheeler Transform and Wavelet Trees. (literal)
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