Lipreading Using Spatiotemporal Histogram of Oriented Gradients
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F16%3A00000470" target="_blank" >RIV/46747885:24220/16:00000470 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EUSIPCO.2016.7760575" target="_blank" >http://dx.doi.org/10.1109/EUSIPCO.2016.7760575</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EUSIPCO.2016.7760575" target="_blank" >10.1109/EUSIPCO.2016.7760575</a>
Alternative languages
Result language
angličtina
Original language name
Lipreading Using Spatiotemporal Histogram of Oriented Gradients
Original language description
We propose a visual speech parametrization based on histogram of oriented gradients (HOG) for the task of lipreading from frontal face videos. Inspired by the success of spatiotemporal local binary patterns, the features are designed to capture dynamic information contained in the input video sequence by combining HOG descriptors extracted from three orthogonal planes that span x, y and t axes. We integrate our features into a system based on hidden Markov model (HMM) and show that by utilizing robust and properly tuned parametrization this traditional scheme can outperform recent sophisticated embedding approaches to lipreading. We perform experiments on three different datasets, two of which are publicly available. In order to conduct an unbiased feature comparison, the process of model learning including hyperparameter tuning is as automatized as possible. To this end, we rely heavily on cross validation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of 24th European Signal Processing Conference (EUSIPCO 2016)
ISBN
978-0-9928626-5-7
ISSN
2219-5491
e-ISSN
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Number of pages
4
Pages from-to
1882-1885
Publisher name
European Signal Processing Conference, EUSIPCO
Place of publication
Maďarsko
Event location
Maďarsko, Budapešť
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391891900359