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The mediamill TRECVID 2010 Semantic Video Search Engine
In this paper we describe our TRECVID 2010 video retrieval experiments. The MediaMill team participated in three tasks: semantic indexing, known-item search, and instance search. The starting point for the MediaMill concept detection approach is our top-performing bag-of-words system of TRECVID 2009, which uses multiple color SIFT descriptors, sparse codebooks with spatial pyramids, kernelbased
machine learning, and multi-frame video processing. We improve upon this baseline system by further speeding up its execution times for both training and classification using GPU-optimized algorithms.
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