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 results for realistic, but relatively small-sized applications have shown the feasibility of the Parallel-Horus approach, with parallel performance consistently being 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 ParallelHorus is a very powerful support-tool for state-of-the-art research and applications in multimedia processing.

• Type: Conference
• Year: 2005
• Where: IPPS
• Authors: Frank J. Seinstra, Cees Snoek, Dennis Koelma, Jan-Mark Geusebroek, Marcel Worring
• Keywords: Distributed And Parallel Computing, Homogeneous Beowulf-type Commodity, IPPS 2005, Non-expert Parallel Programmers, Sequential Multimedia Applications