Algorithms, Design Methods, and Many-Core Execution Platform for Low-Power Massive Data-Rate Video and Image Processing
Public support
Provider
Ministry of Education, Youth and Sports
Programme
—
Call for proposals
ARTEMIS 2013-1
Main participants
CAMEA, spol. s r.o.
Contest type
RP - Co-financing of EC programme
Contract ID
MSMT-16274/2014-1
Alternative language
Project name in Czech
Algorithms, Design Methods, and Many-Core Execution Platform for Low-Power Massive Data-Rate Video and Image Processing
Annotation in Czech
ALMARVI aims at providing cross-domain many-core platform solution, system software stack, tool chain, and adaptive algorithms that will enable massive data-rate image/video processing with high energy efficiency. ALMARVI will provide mechanisms and support for high degree of adaptivity at various system layers that will abstract the variations in the underlying platforms (e.g., due to imperfections in the fabrication process), communication channels (e.g., available bandwidth), application behaviour (dynamic workloads, changing requirements) from the application developer. This is crucial for providing consistent performance efficiency in an interoperable manner when considering heterogeneous platform options and dynamic operating conditions. The keyis to leverage image/video content-specific properties, application-specific features, and inherent resilience properties of image/video processing applications. The goal of ALMARVI is to develop: - Adaptive, scalable, and parallelised algorithms for image and video processing - Cross-domain system software stack with adaptive run-time system for efficient resource/power management and improved interoperability - Concepts for continuous hardware and software adaptations - Cross-domain many-core execution platform scalable with off-the-shelf heterogeneous acceleration fabrics like FPGAs, embedded GPUs, DSPs, etc. - Design tools and methods for execution platform - Industrial-grade demonstrators for multiple application use cases to validate the projectresults.
Scientific branches
R&D category
AP - Applied research
CEP classification - main branch
JD - Use of computers, robotics and its application
CEP - secondary branch
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CEP - another secondary branch
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OECD FORD - equivalent branches <br>(according to the <a href="http://www.vyzkum.cz/storage/att/E6EF7938F0E854BAE520AC119FB22E8D/Prevodnik_oboru_Frascati.pdf">converter</a>)
20204 - Robotics and automatic control<br>20205 - Automation and control systems
Completed project evaluation
Provider evaluation
U - Uspěl podle zadání (s publikovanými či patentovanými výsledky atd.)
Project results evaluation
The team was focused on research and experimental evaluation of object detection algorithms for modern computational platform based on combination of processors and programmable hardware. The main result of the project is an object detector (trained for vehicles licence plate detection) for intelligent embedded camera based on Xilinx Zynq platform.
Solution timeline
Realization period - beginning
Apr 1, 2014
Realization period - end
Jun 30, 2017
Project status
U - Finished project
Latest support payment
Mar 2, 2017
Data delivery to CEP
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data delivery code
CEP18-MSM-7H-U/01:1
Data delivery date
Jun 11, 2018
Finance
Total approved costs
5,958 thou. CZK
Public financial support
2,979 thou. CZK
Other public sources
995 thou. CZK
Non public and foreign sources
1,984 thou. CZK