Identity Extraction from Clusters of Multi-modal Observations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956390" target="_blank" >RIV/49777513:23520/19:43956390 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-26061-3_18#aboutcontent" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-26061-3_18#aboutcontent</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-26061-3_18" target="_blank" >10.1007/978-3-030-26061-3_18</a>
Alternative languages
Result language
angličtina
Original language name
Identity Extraction from Clusters of Multi-modal Observations
Original language description
In this paper, we present a method for identity extraction from TV News Broadcasts. We define the identity as a set of multi-modal observations. In our case it is the face of a person and a name of a person. The method is based on agglomerative clustering of observations. The resulting clusters represent individual identities, that appeared in the broadcasts. To evaluate the accuracy of our system, we hand labelled approximately one year worth of TV News broadcasts. This resulted in total of 10301 multi-modal observations and 2563 unique identities. Our method achieved a coverage measure of 90.69 % and precision measure of 94.69 %. Given the simplicity of the proposed algorithm, these results are very satisfactory. Furthermore, the designed system is modular and new modalities can be easily added.
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
20205 - Automation and control systems
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)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer, 21st International Conference, SPECOM 2019, Istanbul, turkey, August 20-25,2019, Proceedings
ISBN
978-3-030-26060-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
9
Pages from-to
171-179
Publisher name
Springer
Place of publication
Cham
Event location
Instanbul, Turkey
Event date
Aug 20, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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