Text adaptation for mobile digital teletext

Chengyuan Peng, Petri Vuorimaa

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
EditorsN. Zhong, H. Tirri, Y. Yao, L. Zhou
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages453-456
Number of pages4
ISBN (Print)0769-52100-2, 978-0-769-52100-8
DOIs
Publication statusPublished - 1 Dec 2004
MoE publication typeA4 Article in a conference publication
EventIEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 - Beijing, China
Duration: 20 Sep 200424 Sep 2004

Conference

ConferenceIEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
CountryChina
CityBeijing
Period20/09/0424/09/04

Fingerprint

Videotex
Mobile devices
Statistical methods
Semantics
Experiments

Cite this

Peng, C., & Vuorimaa, P. (2004). Text adaptation for mobile digital teletext. In N. Zhong, H. Tirri, Y. Yao, & L. Zhou (Eds.), Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 (pp. 453-456). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/WI.2004.10051
Peng, Chengyuan ; Vuorimaa, Petri. / Text adaptation for mobile digital teletext. Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. editor / N. Zhong ; H. Tirri ; Y. Yao ; L. Zhou. IEEE Institute of Electrical and Electronic Engineers , 2004. pp. 453-456
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title = "Text adaptation for mobile digital teletext",
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.",
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Peng, C & Vuorimaa, P 2004, Text adaptation for mobile digital teletext. in N Zhong, H Tirri, Y Yao & L Zhou (eds), Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. IEEE Institute of Electrical and Electronic Engineers , pp. 453-456, IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004, Beijing, China, 20/09/04. https://doi.org/10.1109/WI.2004.10051

Text adaptation for mobile digital teletext. / Peng, Chengyuan; Vuorimaa, Petri.

Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. ed. / N. Zhong; H. Tirri; Y. Yao; L. Zhou. IEEE Institute of Electrical and Electronic Engineers , 2004. p. 453-456.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - 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.

AB - 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.

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Peng C, Vuorimaa P. Text adaptation for mobile digital teletext. In Zhong N, Tirri H, Yao Y, Zhou L, editors, Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. IEEE Institute of Electrical and Electronic Engineers . 2004. p. 453-456 https://doi.org/10.1109/WI.2004.10051