Audio-Visual TV Broadcast Signal Segmentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F20%3A00007158" target="_blank" >RIV/46747885:24220/20:00007158 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-31964-9_21" target="_blank" >http://dx.doi.org/10.1007/978-3-030-31964-9_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-31964-9_21" target="_blank" >10.1007/978-3-030-31964-9_21</a>
Alternative languages
Result language
angličtina
Original language name
Audio-Visual TV Broadcast Signal Segmentation
Original language description
Research in the field of audio-visual broadcast programs transcription and indexing has been solved for more than 20 years. Great progress has been made mainly in the area of broadcast transcription from audio signal. In the last 10 years, this research has become more intense, mainly due to the use of deep or convolutional neural networks and because of large IT companies (Google, Microsoft, IBM, Amazon) that can rely on a large number of custom embedded multimedia databases. Very important part of system for audio-visual broadcast signal transcription is subsystem for signal segmentation. Signal segmentation is usually solved separately for audio and visual signal. In this paper, a methodology for audio-visual broadcast signal segmentation is presented and described. The result from audio signal segmentation is used for improving of visual signal segmentation.
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
Advances in Intelligent Systems and Computing. 6th International Conference on Man-Machine Interactions
ISBN
978-303031963-2
ISSN
2194-5357
e-ISSN
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Number of pages
8
Pages from-to
221-228
Publisher name
Springer
Place of publication
Germany
Event location
Cracow, Poland
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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