User transparent parallel processing of the 2004 NIST TRECVID data set

The Parallel-Horus framework, developed at the University of Amsterdam, is a unique software architecture that allows non-expert parallel programmers to develop fully sequential multimedia applications for efficient execution on homogeneous Beowulf-type commodity clusters. Previously obtained result...

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Bibliographic Details
Main Authors: Seinstra, F.J., Snoek, C.G.M., Koelma, D., Geusebroek, J.M., Worring, M.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Content based retrieval
Informatics
Libraries
Message passing
Multimedia computing
NIST
Parallel processing
Programming profession
Software architecture
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Summary:The Parallel-Horus framework, developed at the University of Amsterdam, is a unique software architecture that allows non-expert parallel programmers to develop fully sequential multimedia applications for efficient execution on homogeneous Beowulf-type commodity clusters. Previously obtained results for realistic, but relatively small-sized applications have shown the feasibility of the Parallel-Horus approach, with parallel performance consistently being found to be optimal with respect to the abstraction level of message passing programs. In this paper we discuss the most serious challenge Parallel-Horus has had to deal with so far: the processing of over 184 hours of video included in the 2004 NIST TRECVID evaluation, i.e. the de facto international standard benchmark for content-based video retrieval. Our results and experiences confirm that Parallel-Horus is a very powerful support-tool for state-of-the-art research and applications in multimedia processing.
ISSN:1530-2075
DOI:10.1109/IPDPS.2005.443