Dautomatic detection and translation of text from natural scenes

被引：0

作者：

Yang, J ^{[1
]}

Chen, XL ^{[1
]}

Zhang, J ^{[1
]}

Zhang, Y ^{[1
]}

Waibel, A ^{[1
]}

机构：

[1] Carnegie Mellon Univ, Interact Syst Lab, Pittsburgh, PA 15213 USA

来源：

2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Large amounts of information are embedded in natural scenes. Signs are good examples of natural objects with high information content. In this paper, we discuss problems in automatic detection and translation of text from natural scenes. We describe the challenges of automatic text detection and propose methods to address these challenges. We extend example based machine translation technology for sign translation and present a prototype system for Chinese sign translation. This system is capable of capturing images, automatically detecting and recognizing text, and translating the text into English. The translation can be displayed on a palm size PDA, or synthesized as a voice output message over the earphones.

引用

页码：2101 / 2104

页数：4

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