Visual Language Identification from Facial Landmarks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312158" target="_blank" >RIV/68407700:21230/17:00312158 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-59129-2_33" target="_blank" >http://dx.doi.org/10.1007/978-3-319-59129-2_33</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-59129-2_33" target="_blank" >10.1007/978-3-319-59129-2_33</a>
Alternative languages
Result language
angličtina
Original language name
Visual Language Identification from Facial Landmarks
Original language description
The automatic Visual Language IDentification (VLID), i.e. a problem of using visual information to identify the language being spoken, using no audio information, is studied. The proposed method employs facial landmarks automatically detected in a video. A convex optimisation problem to find jointly both the discriminative representation (a softhistogram over a set of lip shapes) and the classifier is formulated. A 10-fold cross-validation is performed on dataset consisting of 644 videos collected from youtube.com resulting in accuracy 73% in a pairwise iscrimination between English and French (50% for a chance).Astudy, inwhich 10 videos were used, suggests that the proposed method performs better than average human in discriminating between the languages.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Image Analysis, Part II
ISBN
978-3-319-59128-5
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
389-400
Publisher name
Springer, Cham
Place of publication
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Event location
Tromso
Event date
Jun 12, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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