Epitome (data processing): Difference between revisions

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An '''epitome''', in [[data processing]], is a condensed digital representation of the essential [[Statistics|statistical]] properties of ordered [[dataset]]s such as [[Matrix (mathematics)|matrices]] that represent [[image]]s, [[audio signal]]s, [[video]]s or [[genetic sequence]]s. Although much smaller than the data, the epitome contains many of its smaller overlapping parts with much less repetition and with some level of generalization. As such, it can be used in tasks such as [[data mining]], [[machine learning]] and [[signal processing]].

{{otheruses|Epitome}}

An '''epitome''', in [[data processing]], is a condensed digital representation of the essential [[Statistics|statistical]] properties of ordered [[dataset]]s such as [[Matrix|matrices]] that represent [[image]]s, [[audio signal]]s, [[video]]s or [[genetic sequence]]s. Although much smaller than the data, the epitome contains many of its smaller overlapping parts with much less repetition and with some level of generalization. As such, it can be used in tasks such as [[data mining]], [[machine learning]] and [[signal processing]].

The first use of '''epitomic analysis''' was with [[image texture]]s<ref>[http://www.research.microsoft.com/~jojic/epitome.html Nebojsa Jojic's image epitome website]</ref> for the purposes of [[Image processing|image parsing]]. Epitomes have also been used in [[video processing]]<ref>[http://www.vincentcheung.ca/research/videoepitome.html Vincent Cheung's video epitome website]</ref> to replace, remove or [[Superresolution|superresolve]] imagery.

Epitomes are also being investigated as tools for [[vaccine design]].{{cn|date=August 2014}}

== See also ==

* [[Image processing]]

* [[Video imprint (computer vision)]]

== References ==

{{reflist}}

== See also ==

* [[Image processing]]

[[Category:Data processing]]

[[Category:Statistical models]]

[[Category:Image processing]]