Reproducibility Companion Paper: Kalman Filter-Based Head Motion Prediction for Cloud-Based Mixed Reality
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00354483" target="_blank" >RIV/68407700:21730/21:00354483 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3474085.3477936" target="_blank" >https://doi.org/10.1145/3474085.3477936</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3474085.3477936" target="_blank" >10.1145/3474085.3477936</a>
Alternative languages
Result language
angličtina
Original language name
Reproducibility Companion Paper: Kalman Filter-Based Head Motion Prediction for Cloud-Based Mixed Reality
Original language description
In our MM'20 paper,, we presented a Kalman filter-based approach for prediction of head motion in 6DoF. The proposed approach was employed in our cloud-based volumetric video streaming system to reduce the interaction latency experienced by the user. In this companion paper, we present the dataset collected for our experiments and our simulation framework that reproduces the obtained experimental results. Our implementation is freely available on Github to facilitate further research.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MM '21: Proceedings of the 29th ACM International Conference on Multimedia
ISBN
978-1-4503-8651-7
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
3619-3621
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Chengdu
Event date
Oct 20, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001147786903075