Optical Character Recognition for Audio-Visual Broadcast Transcription System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F20%3A00008347" target="_blank" >RIV/46747885:24220/20:00008347 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9237867" target="_blank" >https://ieeexplore.ieee.org/document/9237867</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CogInfoCom50765.2020.9237867" target="_blank" >10.1109/CogInfoCom50765.2020.9237867</a>
Alternative languages
Result language
angličtina
Original language name
Optical Character Recognition for Audio-Visual Broadcast Transcription System
Original language description
This paper investigates the use of optical character recognition (OCR) for system of audio-visual broadcast transcription. Characters were recognized from video frames by open-source program OCR Tesseract. The OCR in this program (from version 4) is based on Recurrent Neural Networks (RNN) and it uses text post-processing by bigram language model. However, the resulting recognized text contains a number of errors. In some images, the text is not detected and recognized correctly or it is not detected at all. We have designed and tested image pre-processing and text post-processing methods for OCR error reduction. The word error rate (WER) was reduced from 29,4% to 15,4%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TH03010018" target="_blank" >TH03010018: DeepSpot - Multilingual technology for spotting and instant alerting</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
11th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2020 - Proceedings
ISBN
978-172818213-1
ISSN
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e-ISSN
—
Number of pages
4
Pages from-to
229-232
Publisher name
IEEE
Place of publication
Finsko
Event location
Virtual (on-line), Mariehamn- Finland
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000662230900038