DocumentCode :
2964025
Title :
Automated Illustration of News Stories
Author :
Delgado, Diogo ; Magalhães, João ; Correia, Nuno
Author_Institution :
Dept. of Comput. Sci., Univ. Nova de Lisboa, Lisbon, Portugal
fYear :
2010
fDate :
22-24 Sept. 2010
Firstpage :
73
Lastpage :
78
Abstract :
Forgetting what one has just read is, in some cases, linked to insufficient attention. The reader might feel either bored or distracted by something more interesting - a common trace in children and the elderly. The challenge is: how can multimedia systems assist readers in reading and remembering stories? Several studies [2, 7, 14] showed that reading memory is improved by visual stimulus. In this paper we formulate the hypothesis that an automated multimedia system can help users in reading a story by stimulating their reading memory with adequate visual illustrations. These illustrations are intended to increase the readers´ attention towards the story and to help them recalling the story. The framework automatically creates a multimedia presentation of the news story by (1) rendering the news text in a sentence-by-sentence fashion, (2) providing mechanisms to select the best illustration for each sentence and (3) select the set of illustrations that guarantees the best sequence of illustrations. Users may also activate a text-to-speech functionality according to their preference or reading difficulties. Experiments used Flickr images to illustrate BBC news articles: a user survey with 23 users assessed positively the effectiveness of the system.
Keywords :
business graphics; information resources; multimedia systems; BBC news article; adequate visual illustration; multimedia presentation; multimedia system; Head; Multimedia communication; Ontologies; Pragmatics; Semantics; Visualization; Automated text illustration; semantic illustrations; text-to-image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-7912-2
Electronic_ISBN :
978-0-7695-4154-9
Type :
conf
DOI :
10.1109/ICSC.2010.68
Filename :
5628870
Link To Document :
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