Efficient Temporal Consistency for Streaming Video Scene Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212529" target="_blank" >RIV/68407700:21230/13:00212529 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICRA.2013.6630567" target="_blank" >http://dx.doi.org/10.1109/ICRA.2013.6630567</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICRA.2013.6630567" target="_blank" >10.1109/ICRA.2013.6630567</a>
Alternative languages
Result language
angličtina
Original language name
Efficient Temporal Consistency for Streaming Video Scene Analysis
Original language description
We address the problem of image-based scene analysis from streaming video, as would be seen from a moving platform, in order to efficiently generate spatially and temporally consistent predictions of semantic categories over time. In contrast to previoustechniques which typically address this problem in batch and/or through graphical models, we demonstrate that by learning visual similarities between pixels across frames, a simple filtering algorithm is able to achieve high performance predictions in an efficient and online/causal manner. Our technique is a meta-algorithm that can be efficiently wrapped around any scene analysis technique that produces a per-pixel semantic category distribution.We validate our approach over three different scene analysis techniques on three different datasets that contain different semantic object categories. Our experiments demonstrate that our approach is very efficient in practice and substantially improves the consistency of the predictions over t
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICRA2013: Proceedings of 2013 IEEE International Conference on Robotics and Automation
ISBN
978-1-4673-5641-1
ISSN
1050-4729
e-ISSN
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Number of pages
7
Pages from-to
133-139
Publisher name
IEEE
Place of publication
Piscataway
Event location
Karlsruhe
Event date
May 6, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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