Structuring ordered nominal data for event sequence discovery Conference Paper

abstract

• This work investigates using n-gram processing and a temporal relation encoding to providing relational information about events extracted from media streams. The event information is temporal and nominal in nature being categorized by a descriptive label or symbolic means and can be difficult to relationally compare and give ranking metrics. Given a parsed sequence of events, relational information pertinent to comparison between events can be obtained through the application of n-grams techniques borrowed from speech processing and temporal relation logic. The procedure is discussed along with results computed using a representative data set characterized by nominal event data. 2010 ACM.

name of conference

• Proceedings of the 18th ACM international conference on Multimedia

authors

• Quek, Francis

published proceedings

• Proceedings of the 18th ACM international conference on Multimedia

author list (cited authors)

• Miller, C. A., Quek, F., & Ramakrishnan, N.

citation count

• 2

complete list of authors

• Miller, Chreston A||Quek, Francis||Ramakrishnan, Naren

publication date

• October 2010

publisher

• Association for Computing Machinery (ACM)  Publisher

Digital Object Identifier (DOI)

• 10.1145/1873951.1874153

International Standard Book Number (ISBN) 13

• 9781605589336

start page

• 1075

end page

• 1078

URL

• http://dx.doi.org/10.1145/1873951.1874153