• 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