Performance benchmarking of RVC based multimedia applications

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AHMAD, Junaid Jameel, Shujun LI, Marco MATTAVELLI, 2013. Performance benchmarking of RVC based multimedia applications. 2013 20th IEEE International Conference on Image Processing (ICIP). Melbourne, Australia, 15. Sep 2013 - 18. Sep 2013. In: 2013 IEEE International Conference on Image Processing. 2013 20th IEEE International Conference on Image Processing (ICIP). Melbourne, Australia, 15. Sep 2013 - 18. Sep 2013. IEEE, pp. 4569-4573. ISBN 978-1-4799-2341-0

@inproceedings{Ahmad2013-09Perfo-26671, title={Performance benchmarking of RVC based multimedia applications}, year={2013}, doi={10.1109/ICIP.2013.6738941}, isbn={978-1-4799-2341-0}, publisher={IEEE}, booktitle={2013 IEEE International Conference on Image Processing}, pages={4569--4573}, author={Ahmad, Junaid Jameel and Li, Shujun and Mattavelli, Marco} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/26671"> <dcterms:bibliographicCitation>2013 IEEE International Conference on Image Processing : ICIP 2013, Proceedings ; September 15-18, 2013, Melbourne, Victoria, Australia / IEEE Signal Processing Society. - Piscataway, NJ : IEEE Service Center, 2013. - S. 4569-4573. - ISBN 978-1-4799-2341-0</dcterms:bibliographicCitation> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dc:creator>Mattavelli, Marco</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/26671"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-08-31T22:25:06Z</dcterms:available> <dc:rights>deposit-license</dc:rights> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-03-12T07:14:28Z</dc:date> <dcterms:abstract xml:lang="eng">The Reconfigurable Video Coding (RVC) framework was developed to specify video codecs as abstract and as much as possible implementation-agnostic descriptions, which are supposed to be processed by code synthesis tools to automatically generate implementations for different target languages and platforms. However, there are still questions about if the run-time performance of these automatically generated RVC-based codec implementations is good enough to run efficiently on different target platforms. In this paper, we present a performance benchmarking study on various RVC-based multimedia specifications (H.264/AVC and JPEG codecs, and four multimedia security systems based on these codecs), which covers the following two aspects: 1) the run-time performance against their corresponding non-RVC implementations on a single-core machine; 2) the performance gain these RVC-based implementations on a dual-core machine. Based on our benchmarking results, which show that RVC-based multimedia implementations achieve adequate/acceptable performance, we conclude that RVC has the potential to become a general-purpose but still performance-efficient development framework for many application domains.</dcterms:abstract> <dc:contributor>Ahmad, Junaid Jameel</dc:contributor> <dc:contributor>Li, Shujun</dc:contributor> <dcterms:issued>2013-09</dcterms:issued> <dc:creator>Li, Shujun</dc:creator> <dc:language>eng</dc:language> <dc:contributor>Mattavelli, Marco</dc:contributor> <dc:creator>Ahmad, Junaid Jameel</dc:creator> <dcterms:title>Performance benchmarking of RVC based multimedia applications</dcterms:title> </rdf:Description> </rdf:RDF>

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