Text adaptation for mobile digital teletext

Chengyuan Peng; Petri Vuorimaa

doi:10.1109/WI.2004.10051

Text adaptation for mobile digital teletext

Not published at VTT

Helsinki University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
Editors	N. Zhong, H. Tirri, Y. Yao, L. Zhou
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	453-456
Number of pages	4
ISBN (Print)	0769-52100-2, 978-0-769-52100-8
DOIs	https://doi.org/10.1109/WI.2004.10051
Publication status	Published - 1 Dec 2004
MoE publication type	A4 Article in a conference publication
Event	IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 - Beijing, China Duration: 20 Sept 2004 → 24 Sept 2004

Conference

Conference	IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
Country/Territory	China
City	Beijing
Period	20/09/04 → 24/09/04

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10.1109/WI.2004.10051

Cite this

@inproceedings{21fd24eecdb24530a10dbf3932e02986,

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.",

author = "Chengyuan Peng and Petri Vuorimaa",

year = "2004",

month = dec,

day = "1",

doi = "10.1109/WI.2004.10051",

language = "English",

isbn = "0769-52100-2",

pages = "453--456",

editor = "N. Zhong and H. Tirri and Y. Yao and L. Zhou",

booktitle = "Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 ; Conference date: 20-09-2004 Through 24-09-2004",

}

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 proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Text adaptation for mobile digital teletext

AU - Peng, Chengyuan

AU - Vuorimaa, Petri

PY - 2004/12/1

Y1 - 2004/12/1

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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U2 - 10.1109/WI.2004.10051

DO - 10.1109/WI.2004.10051

M3 - Conference article in proceedings

AN - SCOPUS:15544367720

SN - 0769-52100-2

SN - 978-0-769-52100-8

SP - 453

EP - 456

BT - Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004

A2 - Zhong, N.

A2 - Tirri, H.

A2 - Yao, Y.

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PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004

Y2 - 20 September 2004 through 24 September 2004

ER -

Text adaptation for mobile digital teletext

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