Title :
Text Adaptation for Mobile Digital Teletext
Author :
Peng, Chengyuan ; Vuorimaa, Petri
Author_Institution :
Helsinki University of Technology
Abstract :
Small and varying screen sizes of mobile devices pose a big problem for digital Teletext service to display its content. It is difficult to display all the text information on a small screen, where page scroll or transparent page to live video is not practical. This paper presents an adaptive text extraction method which can automatically extract key information from original text and keep semantic meanings as close as possible. We combine both statistical methods and coarse coding algorithm from neural science to shorten long text sentences in terms of generalization. The experiment results show that the methods are efficient and effective.
Keywords :
Bit rate; Computer displays; Computer science; Data mining; Digital TV; Mobile computing; Natural language processing; Statistical analysis; Teletext; Web services;
Conference_Titel :
Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2100-2
DOI :
10.1109/WI.2004.10051