TranslatAR: A mobile augmented reality translator

Fragoso, Victor; Gauglitz, Steffen; Zamora, Shane; Kleban, Jim; Turk, Matthew

doi:10.1109/wacv.2011.5711545

Cited by 77 publications

(43 citation statements)

References 10 publications

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“…Consequently the detection cost was much lower than a full frame search. Similar requirements were also imposed by some real-time text translation applications on mobile devices (Fragoso et al, 2011).…”

mentioning

confidence: 89%

The Cloud-Mobile Convergence Paradigm for Augmented Reality

Luo¹

2011

Augmented Reality - Some Emerging Application Areas

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mentioning

confidence: 89%

The Cloud-Mobile Convergence Paradigm for Augmented Reality

Luo¹

2011

Augmented Reality - Some Emerging Application Areas

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“…Text substitution [6] is the art of replacing visible text in an image with other text (using different content, font, color, size, or language), in such a way that the rendered image looks "natural". Accurate text stroke segmentation is an important component of text substitution.…”

Section: Application: Text Substitutionmentioning

confidence: 99%

“…For example, binarization allows for operations such as text removal (and possibly substitution), text color change, and contrast enhancement. This type of operations are often required for stock photography processing (e.g., license plate number removal from Google StreetView images [7]), augmented reality (e.g., substitution of original text with its translation in a different language [6]), and assistive technology (e.g., to increase text readability for people with low vision [12]). Precise stroke segmentation is needed in these applications in order to preserve the naturalness of processed images.…”

Section: Introductionmentioning

confidence: 99%

Robust and Accurate Text Stroke Segmentation

Qin

Peng

Kim

et al. 2018

2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

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We propose a new technique for the accurate segmentation of text strokes from an image. The algorithm takes in a cropped image containing a word. It first performs a coarse segmentation using a Fully Convolutional Network (FCN). While not accurate, this initial segmentation can usually identify most of the text stroke content even in difficult situations, with uneven lighting and non-uniform background. The segmentation is then refined using a fully connected Conditional Random Field (CRF) with a novel kernel definition that includes stroke width information. In order to train the network, we created a new synthetic data set with 100K text images. Tested against standard benchmarks with pixellevel annotation (ICDAR 2003, ICDAR 2011, and SVT) our algorithm outperforms the state of the art by a noticeable margin.

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“…Result of application is inaccurate for large fonts. It depends on real world imaging problems such as illumination variance, glare, and dirt are found to cause problems [4]. BehrangParhizkar, KeamogetsweOteng, One Ndaba, ArashHabibiLashkari, and Zahra MohanaGebrilproposed method to combine real time visual with augmented reality technology on mobiles for education purpose [2].…”

Section: Literature Surveymentioning

confidence: 99%

Literature Survey on Word Identification System for Kannada Language

Sushma¹,

Madesha²

2017

International Journal of Advanced Research in Computer and Comm

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Abstract:Translating text form one language to another by extracting text from an image will enhance the knowledge of society without any language barrier. Text extraction from image involves detecting the text from given image, finding the presence of text location, extraction, enhancement and recognition of text from the given image. Machine translation technique is used to translate source language to target language. Machine translation plays an important role in benefiting linguists, sociologists, computer scientists. The demand of translation has become more in recent years due to increase in the exchange of information between various regions using different regional languages. A large number of techniques have been proposed to address this problem. The purpose of this paper is to review and classify various text extraction algorithms and translation techniques.

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TranslatAR: A mobile augmented reality translator

Cited by 77 publications

References 10 publications

The Cloud-Mobile Convergence Paradigm for Augmented Reality

The Cloud-Mobile Convergence Paradigm for Augmented Reality

Robust and Accurate Text Stroke Segmentation

Literature Survey on Word Identification System for Kannada Language

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