As the amount of recorded TV content is increasing rapidly, people need active and interactive browsing methods. In this paper, we use both text information from closed captions and visual information from video frames to generate links to enable users to easily explore not only the original video content but also augmented information from the Web. This solution especially shows its superiority when the video content cannot be fully represented by closed captions. A prototype system was implemented and some experiments were carried out to prove its effectiveness and efficiency.
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Xin FAN, Hisashi MIYAMORI, Katsumi TANAKA, Mingjing LI, "Mining Text and Visual Links to Browse TV Programs in a Web-Like Way" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 8, pp. 1304-1307, August 2007, doi: 10.1093/ietisy/e90-d.8.1304.
Abstract: As the amount of recorded TV content is increasing rapidly, people need active and interactive browsing methods. In this paper, we use both text information from closed captions and visual information from video frames to generate links to enable users to easily explore not only the original video content but also augmented information from the Web. This solution especially shows its superiority when the video content cannot be fully represented by closed captions. A prototype system was implemented and some experiments were carried out to prove its effectiveness and efficiency.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.8.1304/_p
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@ARTICLE{e90-d_8_1304,
author={Xin FAN, Hisashi MIYAMORI, Katsumi TANAKA, Mingjing LI, },
journal={IEICE TRANSACTIONS on Information},
title={Mining Text and Visual Links to Browse TV Programs in a Web-Like Way},
year={2007},
volume={E90-D},
number={8},
pages={1304-1307},
abstract={As the amount of recorded TV content is increasing rapidly, people need active and interactive browsing methods. In this paper, we use both text information from closed captions and visual information from video frames to generate links to enable users to easily explore not only the original video content but also augmented information from the Web. This solution especially shows its superiority when the video content cannot be fully represented by closed captions. A prototype system was implemented and some experiments were carried out to prove its effectiveness and efficiency.},
keywords={},
doi={10.1093/ietisy/e90-d.8.1304},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - Mining Text and Visual Links to Browse TV Programs in a Web-Like Way
T2 - IEICE TRANSACTIONS on Information
SP - 1304
EP - 1307
AU - Xin FAN
AU - Hisashi MIYAMORI
AU - Katsumi TANAKA
AU - Mingjing LI
PY - 2007
DO - 10.1093/ietisy/e90-d.8.1304
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2007
AB - As the amount of recorded TV content is increasing rapidly, people need active and interactive browsing methods. In this paper, we use both text information from closed captions and visual information from video frames to generate links to enable users to easily explore not only the original video content but also augmented information from the Web. This solution especially shows its superiority when the video content cannot be fully represented by closed captions. A prototype system was implemented and some experiments were carried out to prove its effectiveness and efficiency.
ER -