@conference {13118,
	title = {A Logic Framework for Sports Video Summarization Using Text-Based Semantic Annotation},
	booktitle = {Semantic Media Adaptation and Personalization, 2008. SMAP {\textquoteright}08. Third International Workshop on},
	year = {2008},
	month = {2008/12//},
	pages = {69 - 75},
	abstract = {Detection of semantic events in sports videos is an essential step towards video summarization. A large volume of research has been conducted for automatic semantic event detection and summarization of sports videos. In this paper we present a novel sports video summarization framework using a combination of text, video and logic analysis. Parse trees are used to analyze structured and free-style text webcasting of sports games and extract the game{\^A}{\textquestiondown}s semantic events, such as goals and penalties in soccer games. Semantic events are then hierarchically arranged before being passed to a logic processing engine. The logic engine receives the summary preferences from the user and subsequently parses the event hierarchy to generate the game{\^A}{\textquestiondown}s summary according to the user{\^A}{\textquestiondown}s preferences. The proposed framework was applied to both soccer and basketball videos. We achieved an average accuracy of 98.6\% and 100\% on soccer and basketball videos, respectively.},
	keywords = {(mathematics);video, analysis;trees, annotation;Internet;broadcasting;sport;text, AUTOMATIC, detection;logic, engine;parse, event, PROCESSING, processing;, semantic, signal, summarization;text, trees;sports, video, Webcasting;text-based},
	doi = {10.1109/SMAP.2008.25},
	author = {Refaey,M.A. and Abd-Almageed, Wael and Davis, Larry S.}
}
