Classification tree Sources

Classification tree Sources

The separation of source coding into two stages, modeling and encoding, is a highly successful approach. We propose meta-modeling as an additional stage. As an application, we use this paradigm to deduce an efficient and optimal algorithm for a novel and powerful model set: the classification tree s...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Binder, E., Kufleitner, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Application software
Arithmetic
Classification tree analysis
Computer science
Conferences
Image coding
Information theory
Metamodeling
Probability distribution
Source coding
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Beschreibung
Zusammenfassung:The separation of source coding into two stages, modeling and encoding, is a highly successful approach. We propose meta-modeling as an additional stage. As an application, we use this paradigm to deduce an efficient and optimal algorithm for a novel and powerful model set: the classification tree sources. Our results on classification tree sources unify and generalize prior results for tree sources. Moreover, we point out applications in text and image compression.
DOI:10.1109/ITW.2009.5351448