Spectrum-based approach to classifying video sequences for encoding experiments

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128316" target="_blank" >RIV/00216305:26220/18:PU128316 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IWSSIP.2018.8439344" target="_blank" >http://dx.doi.org/10.1109/IWSSIP.2018.8439344</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IWSSIP.2018.8439344" target="_blank" >10.1109/IWSSIP.2018.8439344</a>

Result language
angličtina
Original language name
Spectrum-based approach to classifying video sequences for encoding experiments
Original language description
With the evolution of video compression algorithms, transmission techniques as well as error concealment tools, benchmarking is essential to assess the performance of emerging techniques. This paper discusses the selection of test material in order to obtain a representative set of different scene character- istics. While the most common approach is relying on the Spatial Information and Temporal Information parameters, our results show that the spatio-temporal spectrum information can be used to classify sequences with high reliability while maintaining low computational complexity.
Czech name
—
Czech description
—

Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP)
ISBN
978-1-5386-6978-5
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
1-5
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Maribor
Event date
Jun 20, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000451277200025

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