A Real-Time Scene Text to Speech System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200577" target="_blank" >RIV/68407700:21230/12:00200577 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33885-4_66" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33885-4_66</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33885-4_66" target="_blank" >10.1007/978-3-642-33885-4_66</a>
Alternative languages
Result language
angličtina
Original language name
A Real-Time Scene Text to Speech System
Original language description
An end-to-end real-time scene text localization and recognition method is demonstrated. The method localizes textual content in images, a video or a webcam stream, performs character recognition (OCR) and "reads" it out loud using a text-to-speech engine. The method has been recently published, achieves state-of-the-art results on public datasets and is able to recognize different fonts and scripts including non-latin ones. The real-time performance is achieved by posing the character detection problemas an efficient sequential selection from the set of Extremal Regions (ERs) which has a linear computation complexity in the number of pixels in the image. Robustness to blur, noise and illumination and color variations is also demonstrated. Finally, weshow effects of various control parameters.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Vision - ECCV 2012. Workshops and Demonstrations
ISBN
978-3-642-33884-7
ISSN
0302-9743
e-ISSN
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Number of pages
4
Pages from-to
619-622
Publisher name
Springer
Place of publication
Heidelberg
Event location
Firenze
Event date
Oct 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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